Qi2

Ushbu maqolada Qo’qon shahri iqlim sharoitida tahsil olayotgan biologiya yo’nalishi talabalarining kardiorespirator tizimi funksional ko’rsatkichlari tahlil qilingan. Tadqiqot davomida muntazam sport bilan shug’ullanuvchi va jismoniy faolligi past bo’lgan talabalarning gemodinamik adaptatsiya xususiyatlari qiyosiy o’rganildi. Natijalar shuni ko’rsatadiki, gipodinamiya kuzatilgan talabalarda yurakning zaxira imkoniyatlari pastligi va tiklanish jarayonlarining sekinligi aniqlangan. Kerdo vegetativ indeksi va Starr formulasi yordamida olingan ma’lumotlar kam harakat talabalarda simpatik nerv tizimi tonusining ustunligini ko’rsatdi.

Ushbu maqola maktabgacha yoshdagi bolalarni inklyuziv ta’lim sharoitida tarbiyalashning samarali pedagogik yondashuvlarini o‘rganishga bag‘ishlangan. Tadqiqotda bolalarning individual xususiyatlari, ijtimoiy va hissiy rivojlanish darajasi hisobga olinib, ularni inklyuziv muhitda qo‘llab-quvvatlash strategiyalari tahlil qilindi. Shningdek, kuzatuv, intervyu, pedagogik tajriba, guruh va individual mashg‘ulotlarni kuzatish hamda amaliy faoliyat natijalarini tahlil qilish usullari qo‘llanildi. Natijalar shuni ko‘rsatdiki, interfaol o‘yinlar, individual yondashuv, kooperativ faoliyat va ota-ona bilan samarali hamkorlik bolalarda ijtimoiy moslashuv, hissiy intellekt, hamkorlik ko‘nikmalari va o‘rganishga bo‘lgan qiziqishni sezilarli darajada oshiradi. Tadqiqotning natijalari inklyuziv ta’lim jarayonida innovatsion pedagogik yondashuvlarni qo‘llash orqali bolalarning ijtimoiy va akademik kompetensiyalarini rivojlantirish imkoniyatini tasdiqlaydi.

Amid growing international pressure for carbon neutrality, the maritime industry is facing mounting institutional demands for environmental innovation. Drawing on protection motivation theory, this study surveyed 499 employees from 1519 shipping service firms to examine how coercive, mimetic, and normative pressures shape green innovative work behavior. By extending protection motivation theory to a highly regulated maritime context, this study demonstrates that institutional pressures do not directly drive green innovation; instead, they enhance employees’ self-protective motivation, which subsequently fosters eco-innovation. Moreover, these relationships are stronger when firms perceive greater climate risks or receive government subsidies, indicating that contextual conditions amplify the translation of motivation into behavior. Overall, the findings reveal how macro-level institutional forces shape the sustainable transition of maritime services through employee psychology, offering governance-relevant insights for policymakers and firms seeking to promote green innovation.

Maqolada 1946–1953-yillarda O‘zbekistonda urushdan keyingi davrda qishloq xo‘jaligini tiklash va agrar siyosat doirasida mehnat unumdorligini oshirishga qaratilgan choralar tarixiy jihatdan tahlil qilinadi. Tadqiqotda VKP(b) MQ va SSSR XKS qarorlari, to‘rtinchi besh yillik reja vazifalari, kolxoz va sovxozlarda mehnatni tashkil etish, sotsial musobaqalar, MTSlar faoliyati hamda mexanizatorlarni rag‘batlantirish tizimi yoritiladi. Xulosada markazlashgan boshqaruv sharoitida olib borilgan agrar siyosatning real iqtisodiy samaradorligi tanqidiy baholanib, uning qishloq mehnatkashlari mehnat sifati va turmush darajasini barqaror yaxshilashga yetarli ta’sir ko‘rsatmaganligi asoslab beriladi.

Ushbu tadqiqot gidrolizlanuvchi taninlarning ishemik yurak shikastlanishida kardioprotektiv faolligini kardiomarker fermentlar dinamikasi orqali baholashga qaratildi. Gidrolizlanuvchi taninlar polifenolik tuzilishga ega bo‘lib, ularning yuqori antioksidant salohiyati hujayra membranasini erkin radikallarning shikastlovchi ta’siridan himoyalashda muhim omil hisoblanadi. Miokard ishemiyasi sharoitida hujayra membranalarining o‘tkazuvchanligi oshishi natijasida CK-MB, LDH va AST kabi diagnostik fermentlarning qon zardobiga ajralib chiqish darajasi keskin ortadi. Shu bois ushbu fermentlarning faolligi taninlarning kardioprotektiv samaradorligini baholash uchun sezgir biokimyoviy marker sifatida tanlandi. Tadqiqotda gidrolizlanuvchi taninlarning antioksidant, antigipoksant va membranastabilizator xususiyatlari miokard to‘qimalarida oksidlovchi stress darajasini pasaytirishi, kaltsiy gomestazini me’yorlashtirishi hamda mitoxondriyal funksional barqarorlikni qo‘llab-quvvatlashi orqali namoyon bo‘lishi aniqlandi. Shuningdek, taninlar ishemiyaga uchragan miokard hujayralaridan fermentlarning plazmaga chiqib ketishini cheklashi, lipid peroksidlanishi mahsulotlari hosil bo‘lishini kamaytirishi hamda miokard nekrozi jarayonining chuqurlashuvini sekinlashtirishi ko‘rsatildi. Olingan natijalar gidrolizlanuvchi taninlarning yurak ishemik shikastlanishida biokimyoviy ko‘rsatkichlarni barqarorlashtirish orqali kardioprotektiv ta’sir ko‘rsatishini, ularning potensial fitopreparat sifatidagi ahamiyatini va eksperimental kardioproteksiya modellarida qo‘llanish imkoniyatlarini ilmiy asoslaydi. Tadqiqot kardiomarker fermentlar yordamida taninlarning himoya mexanizmini baholashning samarali usul ekanini tasdiqlaydi.

Participatory approaches are increasingly used in biodiversity conservation to build trust, reduce conflict, and create more lasting decisions. By bringing together diverse voices (local communities, scientists, policymakers, NGOs) they aim to shape strategies that protect both people and nature. But more participation does not automatically mean better outcomes. Power matters. When power dynamics are overlooked, participation can become superficial, reinforcing old inequalities and even deepening tensions. Power shapes who is heard, whose knowledge counts, and who is left outside decision-making. If we don’t name and reflect on these dynamics, we risk failing the very goals of fairness and impact that participatory processes aim for. This Tool for Thought invites conservation practitioners, researchers, and facilitators to reflect more consciously on how power operates in participatory settings and how we might respond with greater care and imagination. It introduces a shared vocabulary to talk about power clearly and constructively. It proposes key concepts, and reflective questions to help make powermore visible, more easy to talk about openly, and more actionable. This resource is for anyone who works, or aspires to work, at the intersection between biodiversity, participation, and social change.It speaks to: Conservation practitioners managing biodiversity and natural resources in collaboration with communities Researchers exploring biodiversity, social-ecological systems, and participatory approaches Facilitators designing and leading participatory processes across diverse settings But it also offers insights to those shaping the conditions for participation: Policy makers who commission participatory processes and seek to design them more inclusively Advocacy leaders, project designers, and funders thinking about how power affects whose voices are heard and whose knowledge is valued Institutional actors committed to shifting practices toward more equity, justice, and shared stewardship. Rather than offering strict categories, this Tool for Thought invites a moreluid perspective: wherever you sit on the ground, in research, at policy levels, or inbetween, you are part of shaping how power flows through conservation efforts.

Liquid-liquid phase separation (LLPS) drives the formation of various membraneless organelles, which are crucial for biological processes and disease development. Despite the significant regulatory effects on LLPS of protein post-translational modifications (PTMs), specific data resource and predictor are still lacking. First, we constructed a well-curated database of PTM regulation on liquid-liquid Phase Separation (PTMPhaSe) (https://ptmphase.sjtu.edu.cn) that contains manually curated complete experimental evidence. Second, we developed graph neural network-based deep learning model (named PhosLLPS) to predict functional phosphorylation sites regulating LLPS, which achieved better identification performance (AUC = 0.9116) than four baseline models and the existing FuncPhos-SEQ method. Meanwhile, human proteome-scale predictions for functional phosphorylation sites were performed with PhosLLPS. PhosLLPS is now freely available in web server (https://ptmphase.sjtu.edu.cn/Predictor). By bridging the gap between PTM regulation and LLPS, these resources could contribute to a better understanding of the molecular function of LLPS and facilitate further drug development for LLPS-related diseases.

The growing threat of airborne biological agents necessitates rapid, sensitive, and portable detection systems to mitigate risks to public health and national security. We present a comprehensive overview of biosensor technologies developed for airborne biothreat detection, with a focus on aptamer-based electrochemical sensors. These sensors offer key advantages in portability, chemical stability, and adaptability for multiplexed detection in field settings. The urgency for real-time surveillance tools capable of identifying viral, bacterial, and toxin-based agents is discussed, particularly in the context of biodefense. Aerosolized particle capture strategies are reviewed, focusing on microfluidics for micron-sized particles and condensation-based systems for submicron-sized particles, which are preferred for their small-volume operation and seamless integration with biosensors. Key biosensor components are described, including recognition elements—such as aptamers—and transduction mechanisms like electrochemical impedance spectroscopy. EIS is highlighted for its label-free, miniaturizable, and real-time readout capabilities, making it well-suited for portable biosensors. Advances in sensing strategies for both viral and bacterial targets are explored, featuring innovations in nanoporous membrane platforms, nanomaterials, and multiplexed assay formats. Recent developments demonstrate improved sensitivity through nanopore-based signal amplification and enhanced selectivity using engineered aptamer libraries. The review concludes by addressing current limitations, including environmental stability, system integration, and the need for validation with complex real-world samples. Future directions point toward the development of fully integrated, field-deployable biosensing platforms that combine effective aerosol capture with robust and selective biosensing technologies.

Sponge-style old community renewal (SOCR) has gained significant attention in recent years as a key strategy to mitigate flood risks in China. Residents, as the main stakeholders in the SOCR, play an important role in renewal projects. However, scholars mostly explore the SOCR from a technical perspective, with few studies focusing on residents’ engagement. Thus, this study aims to address this gap by dividing residents’ engagement into seven distinct clusters in the SOCR and investigating their determinants through binary logistic regression. The findings show that field, social capital, psychological capital, habit, and community attachment have a significant impact on engagement clusters. The field has a moderating effect between engagement clusters and their determinants. This study not only summarizes the seven current clusters of residents’ engagement in the SOCR but also provides key and substantive information for renewal project decision-makers to cultivate fully engaged residents.

Accurate identification of the interactions between T‐cell receptors (TCRs) and antigenic epitopes presented by major histocompatibility complex (MHC) molecules is fundamental to advancing cancer immunotherapy. Nevertheless, predictive modeling of TCR–epitope binding remains challenging, as existing models struggle to generalize to unseen epitopes while often overlooking key physicochemical properties governing immune recognition. Here, a biologically informed vision‐guided deep learning framework (DAISY) is proposed for robust and interpretable TCR–epitope binding prediction. DAISY integrates hierarchical physicochemical features via a biologically inspired Condition‐Adaptive Fusion module, jointly modeling residue‐level spatial interactions and global biochemical context. DAISY consistently outperforms state‐of‐the‐art models across four generalization scenarios, notably improving ROC‐AUC by 11% and PR‐AUC by 16% over the strongest competitor in the most challenging Unseen‐Pair setting. DAISY also offers intuitive interpretability by localizing interaction‐relevant residues via Score‐CAM visualizations. Furthermore, its computational predictions are bridged to key immunological and clinical outcomes, demonstrating utility in correlating with T‐cell clonal expansion, identifying functional TCRs, and robustly forecasting patient survival. Together, DAISY can serve as a powerful tool for broad translational immunology and introduces a scalable modeling paradigm for next‐generation immune modeling.