Miracle-dz/UniFAR-FTUs huggingface dataset:
Single Exact Single Approximate Adders and Single Exact Dual Approximate Adders

In this article, we present the design of approximate adders which provide dynamic runtime configurability between exact and approximate modes at the circuit level. We propose the single exact single approximate (SESA) adders that allow for fine grain configurability between exact and approximate modes. We also propose the single exact dual approximate (SEDA) adder that allows for coarse grain configurability between exact and approximate modes. Unlike SESA adders, the SEDA adder allows for two approximate computations at a time. Both the SESA and SEDA adders have a maximum bounded error. We implemented SESA and SEDA adders using UMC 28-nm technology node and evaluated them using the Cadence virtuoso tool. On average, SESA and SEDA adders consume 40% and 51% lesser energy when compared with the exact mirror adder when used in approximate mode. We have evaluated our result on image addition and image enhancement using 16-bit SESA and SEDA adders. We also evaluated 32-bit SESA and SEDA adders on the Moby benchmarks to highlight their use in approximate processors.
Exploration of macroeconomic effects on criminality in Indonesia

Abstract Criminal issues receive special attention from the public to researchers. The presence of crime has a detrimental impact on the surrounding environment. Therefore we are motivated to conduct research to look at the causes of crime from a different perspective, namely macroeconomics. This study examines the effect of macroeconomic variables such as inequality, income per capita, inflation, and unemployment on crime in Indonesia. The methods used are Autoregressive Distributed Lag (ARDL), FMOLS, and DOLS from 2000–2019. The research data utilized sources from the Central Bureau of Statistics and the World Development Indicators. The latest research using this method finds that inequality, inflation, and unemployment have a significant positive effect in the long run, while income per capita has a significant negative effect. Meanwhile, short-term estimates find consistent signs of income per capita and inequality that have a significant effect. Interestingly, inflation and unemployment have no effect on crime. On the other hand, inequality and income per capita were found to have an effect in the short term. Therefore, policymakers take action to increase equity, improve the economy, control inflation, and create jobs to reduce crime.
Practical Application of a Urinary Zearalenone Monitoring System for Feed Hygiene Management of a Japanese Black Cattle Breeding Herd—Relevance to Anti-Müllerian Hormone and Serum Amyloid A Clarified from a Two-Year Survey

In this study, a herd of Japanese Black (JB) breeding cattle with sporadic reproductive disorders was continuously monitored for an additional year to assess the effects of the urinary zearalenone (ZEN) concentration and changes in parameters (AMH and SAA) with time-lag variables and herd fertility (reproductive performance). This herd had high (exceeded the Japanese dietary feed regulations) urinary ZEN and rice straw ZEN concentrations (1.34 mg/kg). Long-term data of the herd with positive ZEN exposure revealed a decreasing ZEN concentration in urine and a gradual decrease in the AMH level with age. The AMH level was significantly affected by the ZEN value 2 months earlier and the AMH level in the previous month. The changes in ZEN and SAA values were significantly affected by the ZEN and SAA values in the previous month. Additionally, calving interval data between pre-monitoring and post-monitoring showed a significantly different pattern. Furthermore, the calving interval became significantly shorter between the time of contamination (2019) and the end of the monitoring period (2022). In conclusion, the urinary ZEN monitoring system may be a valuable practical tool for screening and detecting herd contamination in the field, and acute and/or chronic ZEN contamination in dietary feeds may affect herd productivity and the fertility of breeding cows.
Reduced Type 2 Innate Lymphocyte Cell Frequencies in Patent Wuchereria bancrofti-Infected Individuals

Approximately 51 million individuals suffer from lymphatic filariasis (LF) caused mainly by the filarial worm Wuchereria bancrofti. Mass drug administration (MDA) programs led to a significant reduction in the number of infected individuals, but the consequences of the treatment and clearance of infection in regard to host immunity remain uncertain. Thus, this study investigates the composition of myeloid-derived suppressor cells (MDSCs), macrophage subsets and innate lymphoid cells (ILCs), in patent (circulating filarial antigen (CFA)+ microfilariae (MF)+) and latent (CFA+MF−) W. bancrofti-infected individuals, previously W. bancrofti-infected (PI) individuals cured of the infection due to MDA, uninfected controls (endemic normal (EN)) and individuals who suffer from lymphoedema (LE) from the Western Region of Ghana. Frequencies of ILC2 were significantly reduced in W. bancrofti-infected individuals, while the frequencies of MDSCs, M2 macrophages, ILC1 and ILC3 were comparable between the cohorts. Importantly, clearance of infection due to MDA restored the ILC2 frequencies, suggesting that ILC2 subsets might migrate to the site of infection within the lymphatic tissue. In general, the immune cell composition in individuals who cured the infection were comparable to the uninfected individuals, showing that filarial-driven changes of the immune responses require an active infection and are not maintained upon the clearance of the infection.
Continuous VR Weight Illusion by Combining Adaptive Trigger Resistance and Control-Display Ratio Manipulation

Handheld virtual reality (VR) controllers enable users to manipulate virtual objects in VR but do not convey a virtual object's weight. This hinders users from effectively experiencing lighter and heavier objects. While previous work explored either hardware-based interfaces or software-based pseudo-haptics, in this paper, we combine two techniques to improve the virtual weight perception in VR. By adapting the trigger resistance of the VR controller when grasping a virtual object and manipulating the control-display (C/D) ratio during lifting, we create a continuous weight sensation. In a psychophysical study (N=29), we compared our combined approach against the individual rendering techniques. Our results show that participants were significantly more sensitive towards smaller weight differences in the combined weight simulations compared to the individual methods. Additionally, participants were also able to determine weight differences significantly faster with both cues present compared to the single pseudo-haptic technique. While all three techniques were generally valued to be effective, the combined approach was favoured the most. Our findings demonstrate the meaningful benefit of combining physical and virtual techniques for virtual weight rendering over previously proposed methods.
DCDS weighted averaging theory and development for improved noise filtering in scientific CCD applications

Readout noise is a key factor in the performance of optical systems based on charge coupled devices (CCDs). Recent developments have shown that digital correlated double sampling (DCDS) using weighted averaging may provide a further reduction in the system readout noise. This paper describes recent advances in noise filtering using DCDS. Particular emphasis is placed on optimising weighted averaging filters to reduce 1/f noise and the characterisation of system performance when using the unsettled samples within the pixel period. Experimental results are presented and compared with theoretical predictions based on the extracted noise spectrum. The analysis provides a detailed study of the relationship between the 1/f corner frequency, the pixel frequency and weighted averaging technique in comparison with the theory of matched filters. Furthermore, the results include a comparison of the noise profile with measured and simulated noise patterns. Key system metrics, including linearity and gain stability, have been characterised and are presented to confirm the suitability of this technique for high-performance scientific applications.
Phosphatase Ssu72 Is Essential for Homeostatic Balance Between CD4+ T Cell Lineages

Ssu72, a dual-specificity protein phosphatase, not only participates in transcription biogenesis, but also affects pathophysiological functions in a tissue-specific manner. Recently, it has been shown that Ssu72 is required for T cell differentiation and function by controlling multiple immune receptor-mediated signals, including TCR and several cytokine receptor signaling pathways. Ssu72 deficiency in T cells is associated with impaired fine-tuning of receptor-mediated signaling and a defect in CD4+ T cell homeostasis, resulting in immune-mediated diseases. However, the mechanism by which Ssu72 in T cells integrates the pathophysiology of multiple immune-mediated diseases is still poorly elucidated. In this review, we will focus on the immunoregulatory mechanism of Ssu72 phosphatase in CD4+ T cell differentiation, activation, and phenotypic function. We will also discuss the current understanding of the correlation between Ssu72 in T cells and pathological functions which suggests that Ssu72 might be a therapeutic target in autoimmune disorders and other diseases.
Investigating Students’ Perceptions towards Artificial Intelligence in Medical Education

Implementing a reform in medical education requires students’ awareness regarding the importance of artificial intelligence (AI) in modern medical practice. The objective of this study was to investigate students’ perceptions of AI in medical education. A cross-sectional survey was conducted from June 2021 to November 2021 using an online questionnaire to collect data from medical students in the Faculty of Medicine at Kuwait University, Kuwait. The response rate for the survey was 51%, with a sample size of 352. Most students (349 (99.1%)) agreed that AI would play an important role in healthcare. More than half of the students (213 (60.5%)) understood the basic principles of AI, and (329 (93.4%)) students showed comfort with AI terminology. Many students (329 (83.5%)) believed that learning about AI would benefit their careers, and (289 (82.1%)) believed that medical students should receive AI teaching or training. The study revealed that most students had positive perceptions of AI. Undoubtedly, the role of AI in the future of medicine will be significant, and AI-based medical practice is required. There was a strong consensus that AI will not replace doctors but will drastically transform healthcare practices.
Impact of an Antimicrobial Stewardship Strategy on Surgical Hospital Discharge: Improving Antibiotic Prescription in the Transition of Care

Antimicrobial stewardship programs (AMSPs) are essential elements in reducing the unnecessary overprescription of antibiotics. Most of the actions of these programs have focused on actions during acute hospitalization. However, most prescriptions occur after hospital discharge, which represents a necessary and real opportunity for improvement in these programs. We present an AMSP multifaceted strategy implemented in a surgical department which was carried out by a multidisciplinary team to verify its reliability and effectiveness. Over a 1-year post-implementation period, compared to the pre-intervention period, a significant reduction of around 60% in antibiotic exposure occurred, with lower economic cost and greater safety.
Low Back Pain and its Associated Factors among First-Year Health Science Undergraduate Students: A Cross Sectional Study

Objective: To determine the prevalence and risk factors of LBP among health science students in the state of Israel. Methods: Two hundred and twenty two students of the first-year health science programs (Nursing, Physical Therapy, Medical Laboratory Sciences and Emergency Medical Services) at Zefat Academic College were invited to participate during May 2021-2022 academic year. A cross-sectional survey with structured self-administered questionnaire that sought information about demographic as well as physical activity and sedentary behavior was used. Results: One hundred ninety seven (88.7%) students participated in this study with mean age of 23 ±3.5 years. The prevalences of LBP at lifetime and last month were 74% (146/197) and 61% (121/197), respectively. No significant differences were noted in the prevalence and characteristics of LBP among the different programs. The results revealed that history of disability (OR-3.591) and seeking care from clinicians due to pain (OR=4.729) increase the likelihood for LBP whereas, physical activity for at least 20 minutes attenuates the risk. Conclusions: Students from health science programs, manifested high prevalence of LBP. We believe that physical activity should be implemented in these programs in order to relief back pain.
Clostridioides difficile Infection in an Italian Tertiary Care University Hospital: A Retrospective Analysis

Clostridioides difficile infection (CDI) is a significant cause of morbidity and mortality, mostly in frail patients. Notification is not mandatory in Italy, and data on incidence, risk of death, and recurrence are lacking. The purpose of this study was to determine CDI incidence and risk factors for mortality and recurrence. The “ICD-9 00845” code in hospital-standardized discharged forms (H-SDF) and microbiology datasets were used to retrieve CDI cases at Policlinico Hospital, Palermo between 2013 and 2022. Incidence, ward distribution, recurrence rate, mortality, and coding rate were considered. The risk of death and recurrence was predicted through multivariable analysis. There were 275 CDIs, 75% hospital-acquired, the median time between admission and diagnosis was 13 days, and the median stay was 21 days. Incidence increased from 0.3 to 5.6% (an 18.7-fold increase) throughout the decade. Only 48.1% of cases were coded in H-SDF. The rate of severe/severe-complicated cases increased 1.9 times. Fidaxomicin was used in 17.1% and 24.7% of cases overall and since 2019. Overall and attributable mortalities were 11.3% and 4.7%, respectively. Median time between diagnosis and death was 11 days, and recurrence rate was 4%. Bezlotoxumab was administered in 64% of recurrences. Multivariable analysis revealed that only hemodialysis was associated with mortality. No statistically significant association in predicting recurrence risk emerged. We advocate for CDI notification to become mandatory and recommend coding CDI diagnosis in H-SDF to aid in infection rate monitoring. Maximum attention should be paid to preventing people on hemodialysis from getting CDI.
Subgroup Separability of Generalized Free Products of Free-By-Finite Groups

Abstract We prove that generalized free products of finitely generated free-byfinite groups amalgamating a cyclic subgroup are subgroup separable. From this it follows that if where t ≥ 1 and u, v are words on {a1,. ,am} and {b1,. ,bn} respectively then G is subgroup separable thus generalizing a result in [9] that such groups have solvable word problems.
Attachment, Growth Fear and Conflict Resolution in Close Relationships

Effectively addressing and resolving conflicts in close relationships plays an important role in maintaining healthy relationships. Therefore, in this study, it is aimed to examine the predictive role of attachment styles (anxiety and avoidance) and the growth fear in close relationships on constructive and destructive conflict resolution strategies in close relationships. A total of 492 individuals, 299 women (60.8%), and 193 men (39.2%) between the ages of 18 and 38 who were romantically involved and married, participated in the study. The outcomes of the multiple regression analysis show that anxiety, avoidance, and growth fear have a predictive role on the effective-destructive 'exit' sub-dimension, which includes abandonment behaviors in conflict resolution. The passive-destructive 'neglect' sub-dimension, which includes conflict-ignoring behaviors, is predicted by anxiety and growth fear. The avoidance and the growth fear negatively predicted the active-constructive 'voice' sub-dimension, which includes the behaviors in which the factors causing conflict are discussed through dialogue. Finally, the passive-constructive 'loyalty' sub-dimension, which includes behaviors such as waiting in hopes that the factors causing conflict will disappear, is predicted positively by the anxiety and negatively by the avoidance. Gender also has a predictive effect on the loyalty sub-dimension. The results obtained from the research were discussed according to the relevant literature, and recommendations were made to mental health experts and researchers. It is hoped that the findings of this study will guide the treatment of conflict resolution processes among partners in relationship counseling processes.
Simultaneous Scene-independent Camera Localization and Category-level Object Pose Estimation via Multi-level Feature Fusion

In AR/MR applications, camera localization and object pose estimation both play crucial roles. The universality of learning techniques, often referred to as scene-independent localization and category-level pose estimation, presents challenges for both tasks. The two missions maintain close relationships due to the spatial geometry constraint, but differing task requirements result in distinct feature extraction. In this paper, we focus on simultaneous scene-independent camera localization and category-level object pose estimation with a unified learning framework. The system consists of a localization branch called SLO-LocNet, a pose estimation branch called SLO-ObjNet, a feature fusion module for feature sharing between two tasks, and two decoders for creating coordinate maps. In SLO-LocNet, localization features are produced for anticipating the relative pose between two adjusted frames using inputs of color and depth images. Furthermore, we establish an image fusion module in order to promote feature sharing in depth and color branches. With SLO-ObjNet, we take the detected depth image and its corresponding point cloud as inputs, and produce object pose features for pose estimation. A geometry fusion module is created to combine depth and point cloud information simultaneously. Between the two tasks, the image fusion module is also exploited to accomplish feature sharing. In terms of the loss function, we present a mixed optimization function that is composed of the relative camera pose, geometry constraint, absolute and relative object pose terms. To verify how well our algorithm could perform, we conduct experiments on both localization and pose estimation datasets, covering 7 Scenes, ScanNet, REAL275 and YCB-Video. All experiments demonstrate superior performance to other existing methods. We specifically train the network on ScanNet and test it on 7 Scenes to demonstrate the universality performance. Additionally, the positive effects of fusion modules and loss function are also demonstrated.
Genetic Diversity and Population Structure of European Soybean Germplasm Revealed by Single Nucleotide Polymorphism

Soybean is the most grown high-protein crop in the world. Despite the rapid increase of acreage and production volume, European soybean production accounts for only 34% of its consumption in Europe. This study aims to support the optimal exploitation of genetic resources by European breeding programs by investigating the genetic diversity and the genetic structure of 207 European cultivars or American introductions registered in Europe, which were genotyped by the SoySNP50K array. The expected heterozygosity (He) was 0.34 for the entire collection and ranged among countries from 0.24 for Swiss cultivars to 0.32 for American cultivars (partly reflecting differences in sample size between countries). Cluster analysis grouped all genotypes into two main clusters with eight subgroups that corresponded to the country of origin of cultivars and their maturity group. Pairwise Fst values between countries of origin showed the highest differentiation of Swiss cultivars from the rest of the European gene pool, while the lowest mean differentiation was found between American introductions and all other European countries. On the other hand, Fst values between maturity groups were much lower compared to those observed between countries. In analysis of molecular variance, the total genetic variation was partitioned either by country of origin or by maturity group, explaining 9.1% and 3.5% of the total genetic variance, respectively. On the whole, our results suggest that the European soybean gene pool still has sufficient diversity due to the different historical breeding practices in western and eastern countries and the relatively short period of breeding in Europe.
Efficient Remediation of p-chloroaniline Contaminated Soil by Activated Persulfate Using Ball Milling Nanosized Zero Valent Iron/Biochar Composite: Performance and Mechanisms

In this study, efficient remediation of p-chloroaniline (PCA)-contaminated soil by activated persulfate (PS) using nanosized zero-valent iron/biochar (B-nZVI/BC) through the ball milling method was conducted. Under the conditions of 4.8 g kg−1 B-nZVI/BC and 42.0 mmol L−1 PS with pH 7.49, the concentration of PCA in soil was dramatically decreased from 3.64 mg kg−1 to 1.33 mg kg−1, which was much lower than the remediation target value of 1.96 mg kg−1. Further increasing B-nZVI/BC dosage and PS concentration to 14.4 g kg−1 and 126.0 mmol L−1, the concentration of PCA was as low as 0.15 mg kg−1, corresponding to a degradation efficiency of 95.9%. Electron paramagnetic resonance (EPR) signals indicated SO4•−, •OH, and O2•− radicals were generated and accounted for PCA degradation with the effect of low-valence iron and through the electron transfer process of the sp2 hybridized carbon structure of biochar. 1-chlorobutane and glycine were formed and subsequently decomposed into butanol, butyric acid, ethylene glycol, and glycolic acid, and the degradation pathway of PCA in the B-nZVI/BC-PS system was proposed accordingly. The findings provide a significant implication for cost-effective and environmentally friendly remediation of PCA-contaminated soil using a facile ball milling preparation of B-nZVI/BC and PS.
MiR-126-Loaded Immunoliposomes against Vascular Endothelial Inflammation In Vitro and Vivo Evaluation

Due to the accompaniment of vascular endothelial inflammation during the occurrence and development of cardiovascular diseases (CVD), treatment modalities against vascular endothelial inflammation have been intensively investigated for CVD prevention and/or treatment. Vascular cell adhesion molecule-1 (VCAM-1) is a typical transmembrane inflammatory protein specifically expressed by inflammatory vascular endothelial. By inhibiting VCAM-1 expression through the miR-126 mediated pathway, vascular endothelial inflammation can be efficiently relieved. Inspired by this, we developed a miR-126-loaded immunoliposome with VCAM-1 monoclonal antibody (VCAMab) decorated at its surface. This immunoliposome can be directly targeted to VCAM-1 at the inflammatory vascular endothelial membrane surface and achieve highly efficient treatment against inflammation response. The cellular experiment results showed the immunoliposome had a higher uptake rate towards inflammatory human vein endothelial cells (HUVECs) and can significantly downregulate the VCAM-1 expression level of inflammatory HUVECs. In vivo investigation further demonstrated that this immunoliposome displayed a higher accumulation rate at vascular inflammatory dysfunction sites than its non-VCAMab-modified counterpart. These results suggest that this novel nanoplatform can effectively deliver miR-126 to vascular inflammatory endothelium, opening a new avenue for the safe and effective delivery of miRNA for potential clinical application.