Miracle-dz/UniFAR-FTUs huggingface dataset:
Top Management Support: Underlying Mechanism between Green Human Resource Management Practices and Environmental Performance

Worldwide, the environmental policymakers and researchers have argued that the causes of environmental deterioration such as loss of biodiversity, increased pollution and resource deficit are entrenched into the human behaviors. In this regard, most of the firms tend towards guaranteeing that their day-to-day operations are not harmful to environment by the application of green initiatives. Thus, there exists an emerging need for shaping and understanding the employee behavior to decrease these harmful environmental effects. Present study, therefore, contributes to the debate by empirically investigating the impact of four dimensions of green HRM practices. The study further incorporates top management support as a mediating mechanism in the relationship between green HRM practices and environmental performance. The study uses green HRM practices (green training and development, green performance management, green employee involvement and green recruitment and selection) as explanatory variables, top management support as mediating variable and environmental performance as outcome variable. The data are collected from 314 respondents working in the manufacturing firms of Pakistan. The study finds positive effect of green HRM practices on environmental performance. The study shows that top management support significantly mediates between green HRM practice and environmental performance. The study suggests promoting top management support to improve environmental performance as it helps firms to achieve sustainable comparative advantage and let the firms produce environmentally friendly products. The study concludes that the appreciation by the top management motivates the employees to engage in environmentally friendly initiatives which leads towards sustainable environmental performance.
Design of the Violin Performance Evaluation System Based on Mobile Terminal Technology

In order to solve the problem that violin performance evaluation is too subjective, this paper proposes a violin performance evaluation system based on mobile terminal technology. Violin sound evaluation mainly includes two indicators such as pronunciation quality and distance transmission ability. LabVIEW 8.2 is used to collect data, and fast Fourier transform (FFT) is used to analyze the time-domain signal in frequency domain, and the pronunciation process of violin is discussed in depth. Using statistical methods to process the test data of pronunciation distance transmission, a parameter model representing the pronunciation distance transmission ability is proposed, and finally the WeChat applet is used to control the recording and display. The results show that the process of violin sound production is accompanied by the weakening of octave peaks and the development of overtone peaks. The stable stage is marked by the stability of each octave peak and overtone peak. The sound head initially presents a simple excitation response, with only one near octave overtone and three cycles. Its maximum overtone peak/dominant frequency peak ratio coefficient is k = 0.36; the back entry complex excitation response has about nine cycles, with k = 0.735. Then enter the quasi-stable excitation response, whose waveform is similar to the typical A-string empty string pull waveform in the later stage, with k = 0.36; the maximum overtone peak/main frequency peak proportional coefficient is k = 0.39 in the rising section of the start, k = 0.2 in the loudest section, and k = 0.26 in the stable section. Conclusion. The system has initially established a new instrumented evaluation method, which provides a way of thinking for improving the quantifiable evaluation system in the future.
Can clinical judgement overcome flawed materials when assessing black children: The need for more intervention-based pedagogy and less assessment negligence

Albert Beckham, who was the first Black school psychologist in the U.S., frequently used intelligence tests with Black children. This usage required clinical decision making to explain the results obtained from psychoeducational assessments. In their discussion of this aspect of Beckham’s work, introduce the concept of Culturally Relevant Clinical Judgement. This paper discusses issues related to the continued use of cognitive assessment instruments as it relates to clinical judgment in special education eligibility decision-making in comparison to alternatives such as Response-to-Intervention (RtI).
Diversity and Abundance of Malaria Vectors in Dhekiajuli Subdivision of Sonitpur District, Assam

An investigation on the diversity and abundance of Anopheles in relation to varying eco-environmental conditions was made in the Dhekiajuli sub-division of Sonitpur district of Assam, Northeast India. Mosquitoes were captured from human dwellings and cattle sheds belonging to three categories of settlement areas of different eco-environmental conditions, viz. - Forest Villages (FVs), Peripheral Forest Villages (PFVs) and urban areas (UAs), and identified by using standard keys. 14 species of anopheles were found in FVs, out of which 2 in PFVs and 7 in UAs were absent. Shannon's diversity index in FVs, PFVs and UAs was calculated as 2.36, 2.31 and 1.77 respectively. An. karwari and An. maculatus were found to be dominant species in FVs which were absent in UAs. An. culicifacies and An. varuna species were dominant in UAs. Adult vectors were observed more in cattle sheds than in human dwellings. The dominant mosquito species in human dwellings were An. maculatus and An. krawfordi; while An. karwari was dominant in cattle sheds. An. dirus was observed in human dwellings only. Though, variations in diversity and abundance of Anopheles species were observed among different settlement categories, none is significant at 5% level; thereby confirming their abundance more or less same, even though varied habitats in the study area appears to be the causative factor. Diversity and abundance of Anopheles, Shannon's diversity index, Dhekiajuli, Assam
Variable selection via composite quantile regression with dependent errors

We propose composite quantile regression for dependent data, in which the errors are from short‐range dependent and strictly stationary linear processes. Under some regularity conditions, we show that composite quantile estimator enjoys root‐n consistency and asymptotic normality. We investigate the asymptotic relative efficiency of composite quantile estimator to both single‐level quantile regression and least‐squares regression. When the errors have finite variance, the relative efficiency of composite quantile estimator with respect to the least‐squares estimator has a universal lower bound. Under some regularity conditions, the adaptive least absolute shrinkage and selection operator penalty leads to consistent variable selection, and the asymptotic distribution of the non‐zero coefficient is the same as that of the counterparts obtained when the true model is known. We conduct a simulation study and a real data analysis to evaluate the performance of the proposed approach.
A Case of Proximal Humerus Fracture Dislocation Presenting With Failed Primary Open Reduction and Internal Fixation Followed by Salvage Reverse Total Shoulder Arthroplasty

The treatment of proximal humerus fractures is complex. Factors like fracture pattern, patient age, pre-injury activity level, soft tissue status, and comorbidities play a role in decision-making for non-operative versus operative management. Complications of non-operative vs operative management of proximal humerus fractures include but are not limited to arthrofibrosis, fracture nonunion, and avascular necrosis. We report an unusual case of a 64-year-old female presenting with a three-part proximal humerus fracture dislocation. The patient underwent primary open reduction internal fixation. Twenty-four weeks after open reduction and internal fixation, the patient experienced collapse of the humeral head with intraarticular hardware migration, and she underwent hardware removal. Fifty-two weeks after hardware removal, the patient experienced avascular necrosis of the humeral head, and she underwent salvage reverse total shoulder arthroplasty. There is debate in the current literature on the best management of multi-part proximal humerus fracture-dislocations.
Experiential Learning: The Case of Training MBA Students in an Asian School

Consulting for a startup company is an effective way for Master of Business Administration (MBA) students to learn about management consulting, and the ways and means of a startup company. This paper discusses the experience of an MBA startup project within the context of a core corporate finance course. The project requires the active engagement of several groups of stakeholders—MBA students, the university’s entrepreneurship incubator, a selection of startup companies, and the project’s academic collaborators. In line with the literature, we find that entrepreneurship education through student-startup collaboration contributes to the students’ entrepreneurial learning, and that the offering of an experiential learning course provides students with the opportunities to work with the external business community that yield positive benefits for students, startups, and the university. Our findings add to the experiential learning literature in business education and show that practice-based learning offers an effective learning experience for students whereby all stakeholders are exposed to various communities of practice that facilitate multiple streams of learning. We provide insights on experiential learning from the implementation of a “new” learning pedagogy for MBA students at an Asian institute of higher learning.
Developmental Milestones of Infancy and Associations with Later Childhood Neurodevelopmental Outcomes in the Adolescent Brain Cognitive Development (ABCD) Study

The age at attaining infancy developmental milestones has been associated with later neurodevelopmental outcomes, but evidence from large and diverse samples is lacking. We investigated this by analyzing data of 5360 singleton children aged 9–10 from 17 states in the US enrolled in the Adolescent Brain Cognitive Development (ABCD) study during 2016–2020. Delays in four milestones (first roll over, unaided sitting, unaided walking, and speaking first words) were defined using the 90th percentile of age at attainment reported by children’s biological mothers. Childhood neurocognitive function was measured by research assistants using the NIH toolbox, and children reported their behavioral problems using the Brief Problem Monitor. Linear mixed-effects models were employed to investigate the association between delays in single or multiple milestones and childhood neurobehavioral outcomes. Delays in first roll over, unaided sitting, or walking were associated with poorer childhood neurocognitive function, while delay in speaking first words was associated with both poorer neurocognitive function and behavioral problems. Children who had delays in both motor and language milestones had the worst neurocognitive function and behavioral outcomes. Our results suggest that delays in motor and language milestone attainment during infancy are predictive of childhood neurobehavioral outcomes.
Whole Transcriptome Analyses of Apricots and Japanese Plum Fruits after 1-MCP (Ethylene-Inhibitor) and Ethrel (Ethylene-Precursor) Treatments Reveal New Insights into the Physiology of the Ripening Process

The physiology of Prunus fruit ripening is a complex and not completely understood process. To improve this knowledge, postharvest behavior during the shelf-life period at the transcriptomic level has been studied using high-throughput sequencing analysis (RNA-Seq). Monitoring of fruits has been analyzed after different ethylene regulator treatments, including 1-MCP (ethylene-inhibitor) and Ethrel (ethylene-precursor) in two contrasting selected apricot (Prunus armeniaca L.) and Japanese plum (P. salicina L.) cultivars, ‘Goldrich’ and ‘Santa Rosa’. KEEG and protein–protein interaction network analysis unveiled that the most significant metabolic pathways involved in the ripening process were photosynthesis and plant hormone signal transduction. In addition, previously discovered genes linked to fruit ripening, such as pectinesterase or auxin-responsive protein, have been confirmed as the main genes involved in this process. Genes encoding pectinesterase in the pentose and glucuronate interconversions pathway were the most overexpressed in both species, being upregulated by Ethrel. On the other hand, auxin-responsive protein IAA and aquaporin PIP were both upregulated by 1-MCP in ‘Goldrich’ and ‘Santa Rosa’, respectively. Results also showed the upregulation of chitinase and glutaredoxin 3 after Ethrel treatment in ‘Goldrich’ and ‘Santa Rosa’, respectively, while photosystem I subunit V psaG (photosynthesis) was upregulated after 1-MCP in both species. Furthermore, the overexpression of genes encoding GDP-L-galactose and ferredoxin in the ascorbate and aldarate metabolism and photosynthesis pathways caused by 1-MCP favored antioxidant activity and therefore slowed down the fruit senescence process.
Automated wall‐climbing robot for concrete construction inspection

Human‐made concrete structures require cutting‐edge inspection tools to ensure the quality of the construction to meet the applicable building codes and to maintain the sustainability of the aging infrastructure. This paper introduces a wall‐climbing robot for metric concrete inspection that can reach difficult‐to‐access locations with a close‐up view for visual data collection and real‐time flaws detection and localization. The wall‐climbing robot is able to detect concrete surface flaws (i.e., cracks and spalls) and produce a defect‐highlighted 3D model with extracted location clues and metric measurements. The system encompasses four modules, including a data collection module to capture RGB‐D frames and inertial measurement unit data, a visual–inertial navigation system module to generate pose‐coupled keyframes, a deep neural network module (namely InspectionNet) to classify each pixel into three classes (background, crack, and spall), and a semantic reconstruction module to integrate per‐frame measurement into a global volumetric model with defects highlighted. We found that commercial RGB‐D camera output depth is noisy with holes, and a Gussian‐Bilateral filter for depth completion is introduced to inpaint the depth image. The method achieves the state‐of‐the‐art depth completion accuracy even with large holes. Based on the semantic mesh, we introduce a coherent defect metric evaluation approach to compute the metric measurement of crack and spall area (e.g., length, width, area, and depth). Field experiments on a concrete bridge demonstrate that our wall‐climbing robot is able to operate on a rough surface and can cross over shallow gaps. The robot is capable to detect and measure surface flaws under low illuminated environments and texture‐less environments. Besides the robot system, we create the first publicly accessible concrete structure spalls and cracks data set that includes 820 labeled images and over 10,000 field‐collected images and release it to the research community.
On the DM interpretation of the origin of non-thermal phenomena in galaxy clusters

(Abridged) We study the predictions of various annihilating Dark Matter (DM) models in order to interpret the origin of non-thermal phenomena in galaxy clusters. We consider three neutralino DM models with light (9 GeV), intermediate (60 GeV) and high (500 GeV) mass. The secondary particles created by neutralino annihilation produce a multi-frequency Spectral Energy Distribution (SED), as well as heating of the intracluster gas, that are tested against the observations available for the Coma cluster. The DM produced SEDs are normalized to the Coma radio halo spectrum. We find that it is not possible to interpret all non-thermal phenomena observed in Coma in terms of DM annihilation. The DM model with 9 GeV mass produces too small power at all frequencies, while the DM model with 500 GeV produces a large excess power at all frequencies. The DM model with 60 GeV and $\tau^{\pm}$ composition is consistent with the HXR and gamma-ray data but fails to reproduce the EUV and soft X-ray data. The DM model with 60 GeV and $b{\bar b}$ composition is always below the observed fluxes. The radio halo spectrum of Coma is well fitted only in the $b{\bar b}$ or light and intermediate mass DM models. The heating produced by DM annihilation in the center of Coma is always larger than the intracluster gas cooling rate for an NFW DM density profile and it is substantially smaller than the cooling rate only for a cored DM density profile in DM model with 9 GeV. We conclude that the possibility of interpreting the origin of non-thermal phenomena in galaxy clusters with DM annihilation models requires a low neutralino mass and a cored DM density profile. If we then consider the multimessenger constraints to the neutralino annihilation cross-section, it turns out that such scenario would also be excluded unless we introduce a substantial boost factor due to the presence of DM substructures.
Glyoxalase I (GLX-I) analysis in native maize from Oaxaca, Mexico, infected with Aspergillus
flavus in vitro

The glyoxalase system plays an important role in various physiological processes in plants when they are subjected to different types of stress, whether physical, chemical or biological. Aspergillus flavus is an aflatoxin-producing fungus that contaminates dry grains, leading to a gradual deterioration of the grains and a significant reduction in their nutritional value. The objective of the present study was to evaluate the activity of the enzyme glyoxalase I (GLX-I) in maize coleoptiles from Oaxaca in response to infection caused by Aspergillus flavus. Nine maize samples from four different races were analyzed. The samples were inoculated with a suspension of Aspergillus flavus spores of known concentration and total protein extraction and quantification were performed on the coleoptiles, and GLX-I activity was determined by quantifying the amount of S-lactoylglutathione produced per minute. In addition, analysis of gene expression by reverse transcriptase polymerase chain reaction (RT-PCR) was performed. The inoculated maize coleoptiles showed symptoms of infection, color changes and wilting. The concentration of total proteins decreased significantly in the extracts of four samples in the presence of the fungus. In the GLX-I analysis, two samples had the highest enzymatic activity in the infected coleoptile extract with respect to the healthy one, in addition to presenting greater expression of the gene in the RT-PCR assay, this due to the response to Aspergillus flavus infection.
DNA hypomethylation promotes learning and memory recovery in a rat model of cerebral ischemia/reperfusion injury

Cerebral ischemia/reperfusion injury impairs learning and memory in patients. Studies have shown that synaptic function is involved in the formation and development of memory, and that DNA methylation plays a key role in the regulation of learning and memory. To investigate the role of DNA hypomethylation in cerebral ischemia/reperfusion injury, in this study, we established a rat model of cerebral ischemia/reperfusion injury by occlusion of the middle cerebral artery and then treated the rats with intraperitoneal 5-aza-2′-deoxycytidine, an inhibitor of DNA methylation. Our results showed that 5-aza-2′-deoxycytidine markedly improved the neurological function, and cognitive, social and spatial memory abilities, and dose-dependently increased the synaptic density and the expression of SYP and SHANK2 proteins in the hippocampus in a dose-dependent manner in rats with cerebral ischemia/reperfusion injury. The effects of 5-aza-2′-deoxycytidine were closely related to its reduction of genomic DNA methylation and DNA methylation at specific sites of the Syp and Shank2 genes in rats with cerebral ischemia/reperfusion injury. These findings suggest that inhibition of DNA methylation by 5-aza-2′-deoxycytidine promotes the recovery of learning and memory impairment in a rat model of cerebral ischemia/reperfusion injury. These results provide theoretical evidence for stroke treatment using epigenetic methods.
Portfolio optimization in incomplete financial markets

These Lecture Notes are based on a course given in June 2001 at the Cattedra Galileiana of Scuola Normale Superiore di Pisa. The course consisted of a short introduction into the basic concepts of Mathematical Finance, focusing on the notion of 'no arbitrage', and subsequently applying these concepts to portfolio optimization. To avoid technical difficulties I mainly dealt with the situation where the underlying probability space is finite and only sketched the difficulties arising in the general case. We then pass to the scheme of utility optimisation for general semi-martingale models. Some topics of this course are not standard: for example, in the treatment of the general existence theorem for the optimal portfolio, we give a direct proof which is not relying on duality theory. Similarly, the treatment of the asymptotic elasticity of utility functions and a related counter-example are original to these notes.
The Longitudinal Analysis on the Anti-SARS-CoV-2 Antibodies among Healthcare Workers in Poland—Before and after BNT126b2 mRNA COVID-19 Vaccination

One of the groups most vulnerable to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is healthcare workers (HCWs) who have direct contact with suspected and confirmed coronavirus diseases 2019 (COVID-19) patients. Therefore, this study aimed to (i) conduct a longitudinal analysis of the seroprevalence of SARS-CoV-2 infection among HCWs working in two healthcare units (HCUs) in Poland and (ii) identify anti-SARS-CoV-2 IgG antibody (Ab) response factors following infection and anti-COVID-19 vaccination. The overall seroprevalence increased from 0% at baseline in September 2020 to 37.8% in December 2020. It reached 100% in February 2021 after BNT126b2 (Pfizer New York, NY, USA/BioNTech Mainz, Germany) full vaccination and declined to 94.3% in September 2021. We observed significant differences in seroprevalence between the tested high- and low-risk infection HCUs, with the highest seropositivity among the midwives and nurses at the Gynecology and Obstetrics Ward, who usually have contact with non-infectious patients and may not have the proper training, practice and personal protective equipment to deal with pandemic infections, such as SARS-CoV-2. We also found that anti-SARS-CoV-2 Ab levels after coronavirus infection were correlated with disease outcomes. The lowest Ab levels were found among HCWs with asymptomatic coronavirus infections, and the highest were found among HCWs with severe COVID-19. Similarly, antibody response after vaccination depended on previous SARS-CoV-2 infection and its course: the highest anti-SARS-CoV-2 Ab levels were found in vaccinated HCWs after severe COVID-19. Finally, we observed an approximately 90–95% decrease in anti-SARS-CoV-2 Ab levels within seven months after vaccination. Our findings show that HCWs have the highest risk of SARS-CoV-2 infection, and due to antibody depletion, extra protective measures should be undertaken. In addition, in the context of the emergence of new pathogens with pandemic potential, our results highlight the necessity for better infectious disease training and regular updates for the low infection risk HCUs, where the HCWs have only occasional contact with infectious patients.