Miracle-dz/UniFAR-FTUs huggingface dataset:
Corporate Social Responsibility: Grasping Legitimacy, Reaching Sustainability

Corporate social responsibility is an action that can be done by the company to prevent and reduce social and environmental impacts that occur due to the company's production activities. The social and environmental impacts resulting from the company's production activities certainly become things that must be considered more by the company in order to achieve a company's sustainability. This research is a qualitative interpretive study using the approach method used to express meaning, which is to describe and explain how actors understand the implementation of corporate social responsibility in the context of grasping legitimacy and achieving sustainability. The site of this research is PR Bintang Sayap Insan, selected informants are individuals who are directly involved, understand, and can provide information about the implementation of Corporate Social Responsibility at PR Bintang Wings Insan Malang. The research data collection was obtained through the results of documentation, interviews and observations. The results of this study indicate that by implementing corporate social responsibility programs that have been run by the company, the company can maintain its sustainability. This is evidenced from the complaints of the people who used to be high, after the implementation of corporate social responsibility programs, these complaints decreased from time to time. The decreasing complaints from the public and the people's acceptance of the existence of the company means that the company has gained legitimacy from the community. The company can operate without being preoccupied with complaints from stakeholders so as to achieve an increase in profits from year to year. This increase in profits from year to year proves that the company can maintain its sustainability.
Constant-Current Gate Driver for GaN HEMTs Applied to Resonant Power Conversion

New semiconductor technology is enabling the design of more reliable and high-performance power converters. In particular, wide bandgap (WBG) silicon carbide (SiC) and gallium nitride (GaN) technologies provide faster switching times, higher operating temperature, and higher blocking voltage. Recently, high-voltage GaN devices have opened the design window to new applications with high performance and cost-effective implementation. However, one of the main drawbacks is that these devices require accurate base current control to ensure safe and efficient operation. As a consequence, the base drive circuit becomes more complex and the final efficiency is decreased. This paper presents an improved gate driver circuit for GaN devices based on the use of a constant current regulator (CCR). The proposed circuit achieves constant current regardless of the operating conditions, solving variations with temperature, aging and operating conditions that may degrade the converter performance. Besides, the proposed circuit is reliable and cost-effective, being applicable to a wide range of commercial, industrial and automotive applications. In this paper, its application to a zero-voltage switching resonant inverter for domestic induction heating was performed to prove the feasibility of this concept.
Biodiversity impact assessment of two large dam projects in India under long term multi-scenarios simulation

ABSTRACT As global biodiversity is facing an existential threat, integration of biodiversity concerns into decision-making tools like EIA is more urgent now. Biodiversity impact assessment of Indira Sagar and Omkareshwar dams on the river Narmada that were conducted during 1990–94 is retrospectively analyzed to demonstrate the utility of the Habitat Evaluation Procedure as a quantitative method and its capability to predict long-term trends in habitat quality. Results of a multiple scenario simulation on habitat quality change over thirty years (1991–2020) indicate that there still exists an opportunity to conserve the biodiversity in the region by enhancing the protection status of the forests surrounding the dam reservoirs and proper resettlement and rehabilitation of project affected population. Further, limitations of Indian EIA with reference to biodiversity integration into Mitigation Hierarchy, Cumulative Impacts Assessment, Governance, SEA and post-audit are addressed. Indian policy needs to integrate biodiversity into earlier stages of decision making, not only to achieve its 2030 SDG targets, but also to ensure ecological security which is essential for the long-term socio-economic development of the nation.
Evaluation of the prevalence and seasonality of human parainfluenza virus over five year period in pediatric patients

Objective: Human Parainfluenza viruses (HPIVs) cause respiratory tract infections, and the second most common cause of acute respiratory illness-related hospitalizations after the respiratory syncytial virus in children <5 years of age. The aim of the study; determination of HPIVs positivity and common types in pediatric patients with respiratory tract infection; investigation the distribution of HPIV positivity by age groups, months and seasons, respectively. Material and Method: HPIV results of 1613 pediatric patients who were sent to the molecular virology laboratory from various pediatric clinics of Gazi Hospital between March 2016 and February 2021 (five years period) were investigated. Nucleic acid isolation was performed on the EZ1 Advanced (Qiagen, Germany) device using the EZ1 Virus Mini Kit by the manufacturer's protocol. Results: HPIV positivity was detected as 4.1% in clinical samples and, the most common HPIV type was found to be HPIV-3 (55%). The distribution of other HPIV types were; HPIV-2, HPIV-4 and HPIV-1 with 26%, 23% and 14%, respectively. HPIV-3 is the most common type in 2016, 2017, 2018 and 2019; however, HPIV-1 is the most common type in 2020. HPIVs co-infection was detected with other respiratory tract viruses in 51% of samples. The highest HPIV co-infection was detected in Rhinovirus. The highest HPIV positivity rate (45%) were determined in the 0-2 age group compared to other age groups (p<0.05). The highest positivity rate was in October in the autumn season (p<0.05), the lowest was in January and February in winter. The highest rate (8.1%) of HPIV positivity was found in 2016 and the lowest rate (0.7%) was in 2020. Conclusions: Since it is not possible to diagnose viral etiology of respiratory tract infections based on clinical findings, viral respiratory tract panel and Multiplex real-time PCR test are a fast and useful method in early diagnosis, treatment decision and prevention of unnecessary antibiotic use. HPIVs positivity is seen at higher rates in children aged 0-2 and in autumn months with seasonal differences.
Short-term changes in plasma and milk fatty acid profiles in cows fed chopped elephant grass-based diets containing two types of sunflower oil associated with two methods of concentrate feeding

This study was carried out in a randomized block design in a 2 x 2 factorial arrangement with the aim of evaluating the short-term changes in the plasma and milk fatty acid (FA) profiles of Holstein x Gyr cows (444±84 kg; 75±31 days in milk; 15.4±4.8 kg day-1 of milk) fed 600 g kg-1 DM chopped elephant grass-based diets supplemented with 45 g kg-1 DM sunflower oil (SO) for 21 days. Two types of SO were evaluated: high oleic/low linoleic acid (HO) and medium oleic/medium linoleic acid (MO). The concentrates containing SO were supplied separately from forage twice a day (TAD) or as part of a total mixed ration (TMR). Temporal changes were analyzed by mixed models (P < 0.05) using six, four and seven repeated measures over time for FA intake and the plasma and milk FA compositions, respectively. There was higher oleic acid intake in HO SO-fed cows, while higher linoleic and α-linolenic acid intake were observed in MO SO-fed cows. TADfed cows had a higher plasma vaccenic acid content than TMR-fed cows, while MO SO-fed cows had higher plasma vaccenic and rumenic acid contents than HO SO-fed cows. As a function of day, there were linear increases in oleic and linoleic acid intake; plasma contents of oleic, vaccenic and linoleic acids; and the milk fat content of linoleic acid, while quadratic effects were adjusted for the milk fat contents of palmitic, oleic, vaccenic and rumenic acids. In comparison with TMR-fed cows, the milk fat of TAD-fed cows produced between days 13 and 17 showed an FA profile that was more nutritionally desirable for human health, with lower contents of hypercholesterolemic FAs and higher contents of oleic, rumenic and vaccenic acids. Between days 15 and 16, the vaccenic and rumenic acid contents in the milk fat of MO SO-fed cows were 81% higher than those obtained from HO SO-fed cows, which on the 14th day had a 14% higher oleic acid content in milk fat. Lower milk fat levels of hypercholesterolemic FAs were produced between days 13 and 14 by cows fed both types of SO.
Design of programmable Gaussian‐derived wavelet filter for wearable biomedical sensor

To provide multiple options for specific application in biosignal processing, the programmable Gaussian‐derived Gm‐C wavelet filter has been proposed. To realize the programmable characteristic, the analog wavelet base with one numerator term is constructed by using hybrid artificial fish swarm algorithm. Also, the inverse follow‐the‐leader feedback Gm‐C filter structure with a switch array is employed. By programming switches only, Gaussian and Marr wavelet transforms can be realized flexibly with all component parameters unchanged. The seventh‐order programmable wavelet filter is designed as an example. Simulation results show that power consumption is only 141.68 pW at scale a = 0.1, with dynamic range of 42.6 dB and figure‐of‐merit of 2.05 × 10−13. Due to the programmability, the proposed design method can implement two wavelet filters with very low circuit complexity.
Tramadol for Early Postoperative Analgesia in Abdominal Hysterectomy: Comparison of Different Administration Techniques

ÖZ Amaç: Tramadol, postoperatif ağrının kontrolü için merkezi olarak etkili bir analjeziktir. Bu çalışmanın amacı, erken postoperatif analjezi için abdominal histerektomide tramadolün üç farklı uygulama yolunu karşılaştırmaktır. Yöntemler: Pfannenstiel insizyonu ile abdominal histerektomi yapılacak olgular sıralı randomizasyon yöntemi ile insizyonel subkutan infiltrasyon (grup 1), infiltrasyon artı intravenöz (grup 2) ve intravenöz (grup 3) olmak üzere 3 gruba ayrıldı. Face pain skalası-revize ile analjezik etki ve mide bulantısı veya hipotansiyon gibi yan etkiler postoperatif 1. , 2. , 3. ve 4. saatlerde değerlendirildi. Bulgular: Her grupta 30 hasta olmak üzere toplam 90 hasta değerlendirildi. Grup 3’ün ağrı skoru ilk saatte diğerlerinden daha düşüktü (4,1±2,1’e karşı 5,2±1,9 ve 5,6±2,3; p=0,040). Bulantı; grup 2’de 2. saatte (%33’e karşı %13 ve %13; p=0,017), grup 1’de 4. saatte (%20’ye karşı %7 ve 0; p=0,022) daha sıktı. Grup 3’te ortalama arter basıncı birinci ve ikinci saatte diğerlerine göre daha düşüktü. Grupların ortalama nabız hızı her saat için benzerdi. Sonuç: Abdominal histerektomide postoperatif ilk saatte ağrı kontrolü için i.v. tramadol uygulaması, sc infiltrasyon ve sc infiltrasyon artı i.v. infüzyondan daha etkilidir ve tercih edilebilir. Anahtar Kelimeler: Histerektomi, postop ağrı, tramadol, bulant
Constitutents of Zingiberaceae. I. Diarylheptanoids from the Rhizomes of Ginger (Zingiber officinale ROSCOE)

Two new diarylheptanoids, meso-3, 5-diacetoxy-1, 7-bis(4-hydroxy-3-methoxyphenyl)heptane (3a) and 3, 5-diacetoxy-1-(4-hydroxy-3, 5-dimethoxyphenyl)-7-(4-hydroxy-3-methoxyphenyl)heptane (4a) were isolated from the rhizomes of ginger (Zingiber officinale ROSCOE), together with dehydroxytetrahydrocurcumin (gingerenone A, 1) and hexahydrocurcumin (2). Their structures were elucidated on the basis of chemical and spectroscopic evidence.
Investigating the performance of polymer and warm mix modified asphalt binders and mixtures

ABSTRACT Using polymer modification and warm mix modification together can result in modified binders having superlative performance along with normal mixing and compaction temperature. Over the decades, different experimental methods have been used to study rutting and fatigue performances of asphalt binders and mixes. Currently, advanced performance evaluation tests like multiple stress creep and recovery, linear amplitude sweep, wheel rut tester, and four-point bending beam test are being used. In the present study, warm mix polymer modified binder was prepared by using both polymer modifier, i.e. styrene butadiene styrene and warm mix modifier, i.e. zycotherm together. Then by using these advanced tests, rutting and fatigue performances of asphalt binder and mix were evaluated at different stress levels and temperatures. A correlation was established between the asphalt binder and mix performance. Stress susceptibility was also evaluated. Using both the modification methods did not show any compatibility problems. Mixes prepared using warm mix polymer modified binder were found to have improved performance along with lower production temperature. further performance evaluation tests of asphalt binder and mixes were found to have a very good correlation with each other.
A uniformly convergent scheme for two-parameter problems having layer behaviour

We present a numerical scheme for the solution of two-parameter singularly perturbed problems whose solution has multi-scale behaviour in the sense that there are small regions where the solution changes very rapidly (known as layer regions) otherwise the solution is smooth (known as a regular region) throughout the domain of consideration. In particular, to solve the problems whose solution exhibits twin boundary layers at both endpoints of the domain of consideration, we propose a collocation method based on the quintic -spline basis functions. A piecewise-uniform mesh that increases the density within the layer region compared to the outer region is used. An penta-diagonal system of algebraic equations is obtained after the discretization. A well-known fast penta-diagonal system solver algorithm is used to solve the system. We have shown that the method is almost fourth-order parameters uniformly convergent. The theoretical estimates are verified through numerical simulations for two test problems.
Different methods for particle diameter determination of low density and high density lipoproteins-Comparison and evaluation

Different Methods for Particle Diameter Determination of Low Density and High Density Lipoproteins – Comparison and Evaluation. (December 2006) Vidya Vaidyanathan, B.Sc., Calcutta University; M.Sc., Avinashilingam University, India Chair of Advisory Committee: Dr. Rosemary L. Walzem Predominance of small dense Low Density Lipoprotein (LDL) is associated with a two to threefold increase in risk for Coronary Heart Disease (CVD). Small, dense HDL (High Density Lipoprotein) particles protect small dense LDL from oxidative stress. Technological advancements have introduced an array of techniques for measuring diameters of LDL and HDL as well as estimating overall particle heterogeneity. However, there is lack of comparative studies between these techniques, and, hence, no conclusive evidence to establish the merits of one method relative to others. The primary purpose of this study was to compare Nondenaturing Gradient Gel Electrophoresis (NDGGE) and Dynamic Laser Light Scattering (DLLS) methods in determining LDL and HDL particle diameter. Our comparison entailed: 1) Evaluating the two methods in terms of their reproducibility 2) Correlating the two methods(in future studies method selection would be driven by time and cost considerations if the two methods correlate), and 3) Evaluating the two methods in terms of their ability to identify bi-modal samples. A secondary purpose of this research was to investigate the effect of refrigerated plasma storage on particle diameter. Reproducibility was measured as Coefficient of Variance
Leadership lessons untold: A new history of Robert McNamara’s World Bank

Leadership education can be reductionist and facile. Recent scholarship in management and organizational history has reexamined many of the most established business school concepts and literatures, rethinking the ‘lessons’ taught from – among others – Taylor, Maslow and the Human Relations School. This study similarly uses historical methods (oral historical and archival) to analyse the career of Robert S. McNamara, a major figure often portrayed simplistically in leadership literature. McNamara is often characterized as a ‘good manager but poor leader’, notorious for failures associated with micromanaging by questionable metrics. While this picture is partially accurate, it is far from complete. McNamara’s career – for all its management failures and weaknesses – also featured many traits associated with celebrated concepts of ‘leadership’, especially during his long tenure as President of the World Bank (1968–81). We develop an historical narrative that reevaluates and updates our understanding of this comparatively unexplored latter stage of McNamara’s career. The article argues against the construction of simplistic ‘leadership lessons’ that suffer from three weaknesses: (1) a poor grasp of historical events, (2) a weak understanding of history as a discipline and (3) a reliance on artificial constructs and dichotomies, such as leadership (good) versus management (bad). We suggest that there is much to learn from deepening the scholarly relationship between critical leadership studies and management history.
Implementation and Evaluation of a Semi-Autonomous Hydraulic Dual Manipulator for Cutting Pipework in Radiologically Active Environments

We describe the implementation of a bespoke two arm hydraulically actuated robotic platform which is used to semi-autonomously cut approximately 50 mm diameter pipes of three different materials: cardboard, ABS plastic and aluminium. The system is designed to be utilised within radiologically active environments where human access is limited due to dose limits and thus remote operation is greatly beneficial. The remotely located operator selects the object from an image via a bespoke algorithm featuring a COTS 3D vision system, along with the desired positions for gripping with one manipulator, and cutting with the other. A pseudo-Jacobian inverse kinematic technique and a programmable automation controller are used to achieve the appropriate joint positions within the dual arm robotic platform. In this article, we present the latest developments to the system and the lessons learnt from the new cutting experiments with a reciprocating saw. A comparison to tele-operated control and manual cutting is also made, with this technique shown to be slower than manual cutting, but faster than pure tele-operational control, where the requirements for highly trained users and operator fatigue are further deleterious factors.
PROFIL ANALOGICAL REASONING SISWA SMA

Analogical reasoning is the ability to solve problems by finding similarities between two objects, namely source and target objects. The purpose of this study was to determine the analogical reasoning profile of students at SMA N 16 Semarang. This study is included in a qualitative study with data collection techniques used in surveys by working on analogical reasoning problems. The research subjects were 100 students of class X. The results found in this study were the category of analogical reasoning ability of students of SMA N 16 Semarang low with a frequency of 74 and a percentage of 73.6%. The low ability of analogical reasoning students is influenced by the lack of learning methods that encourage students in problem-solving using analogies, besides analogies have two sides if understood will facilitate students' understanding of concepts, but if it cannot be understood misconceptions occur so teachers rarely use analogous reasoning in explaining material abstract. Therefore it is necessary to have an understanding and experience of the teacher to build this ability by using learning methods that support analogical reasoning abilities.
Optimal high‐level control of building HVAC system under variable price framework using partially linear model

National Key R&D Programme of China, Grant/ Award Number: 2020YFB0905900 Abstract As typical thermostatic loads, heating, ventilation, and air conditioning (HVAC) systems possess high flexibility due to buildings' thermal inertia. It is beneficial to coordinate HVAC loads with power grid operations. However, it is difficult to model the HVAC loads of realistic buildings. A partially linear model is proposed to capture the electrothermal characteristics of building HVAC loads. The proposed model combines the explainability of a physically based model and the fitting capability of a data‐driven model. The model retains linearity regarding mapping the control variables to the HVAC load and thus is compatible with existing studies based on the assumption of a succinct HVAC load model. Based on the proposed model, an optimal control strategy is developed to minimize the HVAC operational cost while considering comfort requirements of occupants. EnergyPlus is used as the building simulation engine to validate the proposed model and optimal control strategy.
Development Of Composite Indicators Of Cyclical Response In Business Surveys Considering The Specifics Of The ‘Covid-19 Economy’

The article proposes a new set of composite indicators-predictors in business tendency surveys, which allow identifying early information signals of a cyclical nature in the economic behavior of business agents. The main criterion for the efficiency of such indicators is their sensitivity to a cyclical pattern and changes in the dynamics of statistical referents. Property such as a statistically significant lead in time series or earlier publication allows them to be combined into indicators of early response. The composite Business Activity Indicator (BAI) in the basic sectors of the Russian economy is calculated by the authors for the first time based on the results of regular (monthly and quarterly) business surveys of Rosstat for 1998–2020 with a large-scale coverage of sampling units. In 2020, the number of survey respondents averaged about 20,000 organizations of all sizes. The index reflects the «common» profile in the dynamics of short-term fluctuations of the key parameters of the economic environment, which consists of the «balances of opinions» of respondents to the questions unified for all sectoral surveys and connected with the reference quantitative statistics with cross-correlation coefficients that are statistically significantly different from zero, with a lead at least one quarter. This is its main difference from the well-known indices of economic sentiment and entrepreneurial confidence. The main components of the BAI are the new composite indices of real demand, current output, real employment, total profits and economic situation. They aggregate the relevant «order» statistics for the basic sectors of the national economy, including the main kinds of industrial activities, retail trade, construction, and services.The article provides a methodological substantiation and an extended procedure for identifying the BAI components; their composition is formed for the entire set of retrospective results of business tendency monitoring in Russia. A new Aggregate Economic Vulnerability Indicator with a counterdirectional profile and varying degrees of symmetry of its dynamics relative to the short-term movement of the BAI is being introduced as the main limitation of business activity. Proactive monitoring of emerging vulnerabilities in the business environment is necessary to warn their large-scale accumulation, prevent the risks of economic downturns and ensure the highest possible macroeconomic stability. This integrated approach makes it possible to determine the novelty of the proposed measurements of short-term cyclical fluctuations in economic development.