Qualtech Systems Incorporation (United States)

Mazkur maqolada surdotarjimonlarning jamiyat hayotidagi o‘rni va ahamiyati, ularning faoliyatini qo‘llab-quvvatlash uchun yaratilayotgan imkoniyatlar hamda davlat siyosatida bu sohaning ustuvor yo‘nalishlari yoritilgan. Shuningdek, surdo tarjimonlarning ta’lim, tibbiyot, huquqiy himoya va axborot makonidagi faoliyati tahlil qilinadi.

Mazkur tadqiqot Lathyrus sativus o‘simligining aminokislotalar tarkibini yuqori samarali suyuqlik xromatografiyasi (YuSSX, HPLC) usulida o‘rganishga bag‘ishlangan. Tadqiqotda o‘simlikning poya va meva namunalari ob’yekt sifatida tanlanib, ularning aminokislotalarining sifat va miqdoriy tarkibi aniqlandi. Natijalarga ko‘ra, har ikkala namunada aspartat, asparagin, glitsin, alanin, tirozin, leytsin va prolin aminokislotalari ustun miqdorda aniqlangan, glutamat va treonin esa qayd etilmadi. Umumiy aminokislotalar miqdori poya namunasida 33,94 mg/g, meva namunasida esa 41,57 mg/g ni tashkil etib, meva namunasida aminokislotalar yig‘indisi nisbatan yuqori ekanligi aniqlandi. Olingan natijalar Lathyrus sativus o‘simligining biologik faol moddalarga boy ekanligini va uni oziq-ovqat hamda farmakologik yo‘nalishlarda istiqbolli xom ashyo sifatida baholash imkonini beradi

Accurately predicting the State of Health (SoH) of batteries has become increasingly important with the widespread adoption of lithium-ion batteries in electric vehicles (EVs). However, existing SoH prediction methods, such as equivalent circuit models and machine learning models, often neglect the integration of machine learning with signal processing. Therefore, the prediction accuracy of SoH on certain battery datasets can be further improved. In this paper, KUformer is proposed, integrating Kolmogorov–Arnold Networks (KAN) and Unscented Kalman Filter (UKF) within a Transformer framework. This model is designed for battery SoH data input characterized by long-term complex dependencies and smooth outputs, achieving high prediction accuracy. Experimental results on two battery datasets with different charging protocols demonstrate that KU-former achieves an average Root Mean Square Percentage Error (RMSPE) of 0.183%, representing at least 38% improvement over the current models, such as iTransformer and PINN.

The evolution of payroll processing from manual calculations to intelligent automated systems represents a transformative shift in business operations. The progression encompasses technological advancements from paper-based systems through early computerization to modern cloud-based solutions. This transformation has enhanced efficiency, accuracy, and compliance while reducing operational costs and manual intervention. The integration of artificial intelligence, blockchain, and advanced security protocols continues to shape the future of payroll management, offering improved data analytics, predictive capabilities, and seamless workforce management integration.

Mazkur maqolada kichik biznes faoliyatini mamlakat yalpi iсhki mahsulotini oshirishdagi o‘rni va bu faoliyat turini yuritish hamda rivojlantirish jararayonida duch kelishi mumkin bo‘lgan muammolar bo‘yicha tadqiqotlar o‘tkazilgan va olingan natijalar bayon qilingan. O‘zbekiston Respublikasi hududi miqyosida o‘tkazilgan so‘rovnomada jami 320 nafar kichik biznes bilan shug‘ullanuvchilar ishtirok etdi. So‘rovnoma natijasida eng ko‘p uchraydigon muammolar resurslarni notekis taqsimlanishi, adolatsiz raqobat, iste’molchilarni o‘zgaruvchan xohish-istaklari kabilar ekanligi aniqlandi. Resurslarning notekis taqsimlanishi muammosini hal qilishda kichik biznes uchun soliq bo‘yicha imtiyozlar berish zarur. Yirik kompaniyalarning adolatsiz raqobat amaliyotiga kirishish imkoniyatlarini cheklash uchun har bir davlat o‘zining monopoliyaga qarshi qonunlarni kuchaytirishi lozim. Iste’molchilarning o‘zgaruvchan xohish-istaklar muammosini bartaraf etishda ularni ehtiyojlari va umidlarini tushunish uchun mijozlar bilan muntazam ravishda muloqot qilish zarur. Maqolaning oxirida mazkur muammolarning yechimlari haqida umumiy xulosa va takliflar berib o‘tilgan.

Permanent magnet synchronous machines (PMSM) and induction machines (IM) have been the primary choice for propulsion system of electric vehicles (EV) and hybrid electric vehicles (HEV). However, other propulsion motor alternatives would be of interest due to the cost of rare-earth materials and simpler construction and manufacturing of these alternatives. Switched reluctance motors (SRMs) tend to be a good candidate with their high torque capability, robust structure, simple manufacturing, and independence from rare-earth materials. One prominent issue with SRMs is the acoustic noise initiated from stator vibration which can be reduced by controlling the radial force within the machine. This paper aims at developing and implementing a novel PWM-control-based noise and vibration reduction technique for switched reluctance motor drives. Experimental results have shown the effectiveness of the proposed technique.

Zika virus (ZIKV) has spread in the Americas, including parts of the southern United States, and infection can be associated with serious complications, including congenital brain abnormalities. Probable transfusion transmission of ZIKV has been documented in Brazil. Preemptive testing of blood donations for ZIKV RNA was implemented in southern US states at risk of local transmission using a test approved under a Food and Drug Administration (FDA) investigational new drug application, cobas Zika. Screening was expanded after issuance of an updated FDA guidance. Donations reactive on initial screening were further tested by nucleic acid and antibody tests to determine the donor status. Of 358,786 donations from US states screened by individual donation testing, 23 were initially reactive on cobas Zika. Fourteen of these represented probable ZIKV infection based on reactivity on additional nucleic acid testing or anti-Zika immunoglobulin M. Ten of the 14 donors reported travel to an identified ZIKV-active area within 90 days before donation (median time from end of travel to donation, 25 days; range, 6-71 days). Three donors with travel history also had a potential sexual exposure. Only seven of the 14 donations with probable ZIKV infection were detectable upon 1:6 dilution to simulate minipool testing. The estimated specificity of the cobas Zika test was 99.997%. Screening of donations for ZIKV RNA can interdict ZIKV-infected donors. Donor risk factors include travel more than 4 weeks before donation and sexual exposure. Minipool screening would have detected only 50% of the RNA-positive donations.