Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of Pertashop & BBM Satu Harga in Parigi Baru Village on Pertamina’s Reputation Measured by Customer-Based Brand Equity

Reputation is not only about corporate management, product, and their value. But it also includes the process of how to get a good reputation from the stakeholder perception. One of the ways is through Corporate Social Responsibility (CSR) Programs. This research objective tries to find and explain the significant effect of the public’s perception about CSR programs by Pertamina on corporate reputation measured by Customer-Based Brand Equity (CBBE). This research uses a quantitative approach with survey methods. The theory that underlies this research is stakeholder theory with the concept of Customer-Based brand equity. The result of this research shows the significant effect of local communities’ perception about corporate image and CSR programs is very high (99,40%) on local communities CBBE as the measurement of corporate reputation. These results indicate that the CSR program plays a vital role in determining the company's reputation in the local community's perception. Improving the CSR programs, CSR personnel, CSR executives are very affecting the corporate image and building a better CBBE and corporate reputation.
HEMATOLOGY, BLOOD GASES AND BIOCHEMISTRY PROFILES OF WILD-NESTING SEA TURTLES IN TERENGGANU, MALAYSIA

Chelonia mydas is an endangered marine species globally, which its reference blood parameters intervals have been published for some group populations, but baseline health status values are lacking from Malaysia. This study aims to better understand the hematology, biochemical, and blood gas of a wild-nesting green turtle population in the South China Sea. The health status of nesting turtles at the Chagar Hutang Turtle Sanctuary, Pulau Redang, were performed on different individuals, (26 females laid one nest and 2 females laid two nests). A portable handheld blood analyzer (iSTAT) used in the field to obtain immediate results of pH, lactate, pO2, pCO2, HCO3-, Hct, Hb, Na, K, iCa, and glucose levels in blood samples, while standard laboratory hematology techniques were conducted at Universiti Malaysia Terengganu (UMT) for red and white blood cell counts. The results for all blood analytes (except Na, iCa, and hematology values) were not within the healthy index range for wild turtles, compared to previous studies from different geographic populations. Therefore, the results of this current study help to develop a baseline profile of healthy wild-nesting turtles as a global reference for detecting abnormalities in blood chemistry and the health status of turtle populations worldwide.
A Method Using Generative Adversarial Networks for Robustness Optimization

The evaluation of robustness is an important goal within simulation-based analysis, especially in production and logistics systems. Robustness refers to setting controllable factors of a system in such a way that variance in the uncontrollable factors (noise) has minimal effect on a given output. In this paper, we present an approach for optimizing robustness based on deep generative models, a special method of deep learning. We propose a method consisting of two Generative Adversarial Networks (GANs) to generate optimized experiment plans for the decision factors and the noise factors in a competitive, turn-based game. In a case study, the proposed method is tested and compared to traditional methods for robustness analysis including Taguchi method and Response Surface Method.
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications

Deep neural networks (DNNs) have achieved unprecedented success in the field of artificial intelligence (AI), including computer vision, natural language processing, and speech recognition. However, their superior performance comes at the considerable cost of computational complexity, which greatly hinders their applications in many resource-constrained devices, such as mobile phones and Internet of Things (IoT) devices. Therefore, methods and techniques that are able to lift the efficiency bottleneck while preserving the high accuracy of DNNs are in great demand to enable numerous edge AI applications. This article provides an overview of efficient deep learning methods, systems, and applications. We start from introducing popular model compression methods, including pruning, factorization, quantization, as well as compact model design. To reduce the large design cost of these manual solutions, we discuss the AutoML framework for each of them, such as neural architecture search (NAS) and automated pruning and quantization. We then cover efficient on-device training to enable user customization based on the local data on mobile devices. Apart from general acceleration techniques, we also showcase several task-specific accelerations for point cloud, video, and natural language processing by exploiting their spatial sparsity and temporal/token redundancy. Finally, to support all these algorithmic advancements, we introduce the efficient deep learning system design from both software and hardware perspectives.
Anesthesia Type and Postoperative Outcomes for Patients Receiving Arthroscopic Rotator Cuff Repairs

Background: As the indications for and the volume of arthroscopic rotator cuff repair increase, it is important to optimize perioperative care to minimize postoperative complications and health care costs. Purpose: We sought to investigate if the anesthesia type used affects the rate of postoperative complications in patients undergoing arthroscopic rotator cuff repairs. Methods: We conducted a retrospective cohort study using the American College of Surgeons National Surgical Quality Improvement Program database to identify patients undergoing arthroscopic rotator cuff repair from 2014 to 2018. Patients were divided into 3 cohorts: general anesthesia, regional anesthesia, and combined general plus regional anesthesia. Bivariate and multivariate analyses with stepwise technique were performed on data related to patient demographics, smoking history, functional status, medical comorbidities (ie, bleeding disorders, chronic obstructive pulmonary disease, and dialysis), and postoperative outcomes within 30 days of discharge. To assess the independent risk factors for postoperative complications, demographics and medical comorbidities were included in the multivariate analyses for any variables that derived P values <. 20. Results: Of 24,677 total patients undergoing arthroscopic rotator cuff repair, 15,661 (63.5%) had general anesthesia, 889 (3.6%) had regional anesthesia, and 8127 (32.9%) received combined general plus regional anesthesia. Patients who received general anesthesia rather than regional anesthesia were more frequently white (76.8% vs 74.8%, respectively) and had a medical history of hypertension (47.9% vs 41.8%, respectively), smoking (14.9% vs 12.4%, respectively), and chronic obstructive pulmonary disease (3.4% vs 1.6%, respectively). Compared with patients receiving general anesthesia, those receiving combined general plus regional were more likely to have higher American Society of Anesthesiologists class and a smoking history. Following adjustment, patients who underwent regional anesthesia had a decreased risk for postoperative admission compared with patients who had general anesthesia. Patients who underwent combined regional plus general anesthesia had decreased rates of wound complications and readmission compared with those who received general anesthesia. Conclusion: Among patients undergoing arthroscopic rotator cuff repair, this retrospective study found a significantly higher rate of respiratory and cardiac comorbidities with general anesthesia compared with regional anesthesia. When controlling for these confounders, the use of regional anesthesia was still associated with lower rates of postoperative readmission compared with the general and combined subgroups. Patients receiving combined general plus regional anesthesia had decreased rates of wound complications and readmittance compared with general anesthesia. These findings may influence anesthetic choice in minimizing postoperative complications for rotator cuff repairs.
The effect of
 E‐cigarette
 indoor vaping restrictions on infant mortality

We estimate the effect of county-level e-cigarette indoor vaping restrictions (IVRs) on infant mortality using United States birth certificates from 2010 to 2015. We estimate difference-indifferences models and find that e-cigarette indoor vaping restrictions increased infant mortality by 0.39 infants per 1,000 live births (12.9%). These effects were disproportionately higher for infants born to younger mothers and in locations with higher baseline levels of prenatal smoking. Infant mortality increased by 34.1% between 100 days to 1 year after IVRs. Infant mortality due to infections and neoplasms were particularly elevated.
Reliability of handheld laser speckle contrast perfusion imaging demonstrated in psoriasis lesions

We assessed the reliability of handheld laser speckle contrast perfusion imaging by evaluating mounted/handheld measurement pairs operated on psoriasis lesions in three steps. First, we made a denoised perfusion map per measurement based on spatial alignment of raw speckle frames and temporal averaging of perfusion frames. Second, we used the measured on-surface speed information to compensate the movement-induced perfusion by extrapolation of the local perfusion values to the value corresponds to zero on-surface speed. Third, we compared mounted/handheld measurement pairs based on perfusion inhomogeneity and increased perilesional perfusion criteria independent of the movement artefact compensation mentioned in the second step. We conclude that after proper post-processing, handheld LSCI measurements can be as reliable as mounted measurements in terms of geometrical distorting, but with challenges to be overcome for correcting perfusion values.
First Step Next: A Best-Evidence Synthesis of Replication Randomized Controlled Trials From 2009 to 2021

Early intervention efforts have been effective in reducing disruptive behaviors and the probability of poor developmental outcomes. Early interventions include common practice elements to improve social functioning and decrease problem behaviors that disrupt the teaching-learning process. The First Step Next intervention has been well validated across early childhood and early elementary settings. In the present article, we provide a best-evidence synthesis of five randomized controlled replication studies between 2009 and 2021. Collectively, these studies show the intervention has resulted in small to large effect sizes and statistically significant improvements, compared with students randomized to control conditions, on multiple indicators of prosocial and problem behavior. The current synthesis focuses on a range of outcomes across elementary and preschool populations, as well as implementation fidelity and social validity ratings, to help school professionals in determining whether First Step Next might be useful in their efforts to support students at risk of school failure.
THE GROWTH RESPONSES OF ORCHID, Phalaenopsis HYBRID TO THE INOCULATION OF Rhizoctonia solani

The orchid mycorrhizal association is a symbiotic interaction in which both plants and fungi are mutually beneficial. Mycorrhizal association increases plant access to soil nutrients and is especially important for orchid seed germination. Most orchid mycorrhizal fungi belong to the group Rhizoctonia, including Rhizoctonia solani, a well-known plant pathogen that affects major crop production worldwide but has also been reported to be an orchid mycorrhiza. However, no systematic study has been done to investigate the type of interaction that develops when pathogenic R. solani interact with an orchid; whether a pathogen can alter its association to become mycorrhizal. Thus, this study was conducted to determine the type of interaction between Phalaenopsis hybrid and R. solani and its effect on the growth and chlorophyll content of Phalaenopsis hybrid. Sterile ex vitro Phalaenopsis plantlets were inoculated with 4 discs (0.5 cm diameter) of R. solani, isolated from diseased rice tissues, and incubated for 9 days. The inoculated root segments were used to observe the fungal hyphae in the root cell. The growth parameters (plant height, leaves length and width, the number of leaves, fresh and dry weights) and chlorophyll content were determined at 0, 3, 6, 7, 8, and 9 days of inoculation. It was observed that no peloton was present in the root cells of all inoculated plants. Severe reduction of growth and chlorophyll content were obtained in inoculated plants compared to control especially after 7 days of inoculation. These results suggested that R. solani developed a pathogenic infection to Phalaenopsis hybrid as no peloton structure was present in the root cells. R. solani infection also reduces the Phalaenopsis hybrids growth as well as declined its chlorophyll content.
Faktor-Faktor yang Mempengaruhi Parental Self-Efficacy Orang Tua Yang Memiliki Anak dengan Disabilitas

Adanya kebutuhan unik dari anak dengan disabilitas menghadapkan orang tua pada risiko permasalahan fisik dan mental dalam pengasuhan. Parental self-efficacy menjadi salah satu faktor penting untuk menurunkan distress psikologis dan perilaku maladaptif dalam pengasuhan. Artikel ini bertujuan untuk mengetahui faktor yang mempengaruhi Parental self-efficacy. Penelitian dilakukan dengan metode systematic review menggunakan framework PICO dalam menentukan kriteria inklusi dan eksklusi. Pencarian artikel dilakukan pada 4 situs yaitu Proquest, SagePub, ScienceDirect, dan SpringerLink. Ditemukan 65 artikel yang selanjutnya diseleksi. Terdapat 6 artikel kuantitaif paling relevan yang di-review, sementara artikel kualitatif dan eksperimen dijadikan sebagai latar belakang dan bahan diskusi dalam artikel ini. Berdasarkan hasil systematic literature review yang dilakukan, diketahui bahwa faktor yang mempengaruhi Parental Self-Efficacy adalah jenis kelamin, kelelahan, pengalaman mengasuh anak dengan disabilitas, dukungan sosial, stres, stigma, dan keterlibatan orang tua. Diperlukan intervensi psikologis seperti program meditasi, mindfulness, dan Cognitive Behavior Therapy (CBT) serta intervensi terkait knowledge orang tua
Life in a drop of water

The last century of biology brought a revolution to our understanding of life at the molecular level; the last decade, a widening re-evaluation of the claim that understanding gained in vitro could reflect the true complexities in vivo and in situ. I present the results of two projects, one grounded in each strain of biological thought. In the first, I statistically analyze and biochemically map the functional groups making intramolecular interactions that permit activity in an in vitro-evolved RNA enzyme, the class I ligase ribozyme; although this ribozyme, derived from random sequence, has never been a part of any organism, understanding its structure and biochemistry is a key step on one of the few relatively well-defined paths to understanding the origins of life. I identify key residues in the ribozyme and present biochemical evidence in support of its proposed catalytic mechanism. In the second study, the interactions at issue are those between an organism, the cyanobacterium Prochlorococcus, and its environment, the oligotrophic ocean. Prochlorococcus has been found living in very different oxygen regimes in the open ocean; I hypothesized that these different oxygen levels might primarily affect Prochlorococcus growth through the competition between oxygen and carbon dioxide for binding to the carbon-fixing enzyme Rubisco. I characterize the transcriptional and growth response of Prochlorococcus strain MED4 to limitations on its supply of oxygen and inorganic carbon, finding indications that oxygen contributes to the health of the carbon-limited cell through two photoprotective pathways. I discuss these responses in the context of both the studied responses of Prochlorococcus to other extreme environmental stressors and the normal modulations necessary for life amid daily flux. Thesis Supervisor: Sallie W. Chisholm Title: Professor of Biology and Lee and Geraldine Martin Professor of Environmental Studies
Podmínky k udržitelnému rozvoji na venkově – jak podporovat transformační procesy v praxi?

Východiskem úvah o strategiích udržitelnosti regionálního rozvoje jsou Cíle udržitelného rozvoje (SDGs) a jak se promítají na místní úroveň. Článek soustřeďuje pozornost na cíl č. 4 – vzdělávání, které může významně podporovat implementaci dalších cílů, pokud cílí na důležité aktéry udržitelného rozvoje. Tuto (transformativní) roli by mělo vzdělávání plnit i na místní úrovni, což ovšem strategické rozvojové dokumenty plně nezohledňují, oblast celoživotního učení není systémově řešena vůbec. Cílem výzkumu bylo zmapovat aktuální situaci v regionech ČR a zjistit, jakou úlohu vzdělávání na místní úrovni v kontextu udržitelného rozvoje plní (a mělo by plnit), a jaké jsou v této souvislosti role jednotlivých aktérů rozvoje venkova. Otázky, které si řešitelský tým kladl v rámci školení pro představitele místních akčních skupin (MAS), byly formulovány a následně distribuovány formou plošného dotazníkového šetření mezi manažery/manažerkami MAS. Data byla vyhodnocena kvantitativními a především kvalitativními metodami, s důrazem na jedinečné zkušenosti a postřehy. Z výsledků vyplývá, že místní aktéři (reprezentovaní MAS) si uvědomují potřebu vzdělávání i nedostatky v této oblasti, a chápou též důsledky tohoto stavu pro udržitelný rozvoj v environmentální, ekonomické i sociální oblasti. Potenciál jednotlivých aktérů (jejich role v procesech udržitelnosti) zůstává nevyužit, což ovlivňuje schopnost inovací. Ačkoli jsou MAS aktérem, který svou roli spatřuje především v posilování sociálního kapitálu a dalších předpokladů rozvoje včetně vzdělávání, existují překážky exogenního charakteru, které naplnění této role brání. Součástí možných řešení je posílení leadershipu MAS v otázkách udržitelnosti, a to i prostřednictvím vzdělávání; vytvoření systému celoživotního učení, které využívá místní znalosti; a zapojení expertů nejen v oblasti technologií, ale například též odborníků na otázky sociální. Vymezení rolí jednotlivých aktérů v procesech rozvoje na úrovni regionů (a tím i specifik bottom-up procesů), by přispělo i k vyjasnění toho, jaké top-down podněty jsou nezbytné k prosazování veřejného zájmu, vyjádřeného např. v SDGs.
Succession in family business and environmental investment: the moderating role of external environment

Abstract After more than 40 years of opening the door to the outside world, Chinese family firms have developed rapidly, but also caused the problem of serious environmental pollution. The solution to the problem stems inevitably from the innovation in environmental protection technology. This means the environmental investment of family firms determines whether the enterprise can maintain sustainable development. However, Chinese family firms have been going through a critical period of intergenerational succession. This study aims to use the data of Chinese Shanghai and Shenzhen A-share listed family firms from 2013 to 2020 to study the relationship between intergenerational succession of family enterprises and environmental protection investment. We also examine the moderating role of the two different types of external environment – the government and the market. The regression results of the Tobit model of the full sample and subsample show that succession has a significant positive impact on family business environmental investment, and this impact is more significant in companies whose successors have overseas experience. Environmental regulation will strengthen the positive impact of succession on corporate environmental investment, while market competition will weaken it. Based on the findings, we also discuss policy recommendations. These findings are of great significance to the green and sustainable development of family firms.
Understanding the Effect of Functionalization on Loading Capacity and Release of Drug from Mesoporous Silica Nanoparticles: A Computationally Driven Study

MCM-41, a type of mesoporous silica nanoparticle, has garnered widespread interests as a useful carrier for drug delivery wherein the drug gets adsorbed into the pores of the carrier. To understand the adsorption mechanism and release of the drug at the molecular level, in the current study, it was attempted to generate a computational model for the loading of 5-fluorouracil (5-FU), a chemotherapeutic agent into surface-modified MCM-41. The molecular surface models of the mesoporous silica (MCM-41) nanoparticle with different surface substitutions were created. In the first stage, molecular mechanics (MM) simulations were carried out to obtain the optimized surface structures. Subsequently, a 5-FU drug molecule in its different forms was docked on top of different MCM-41 surfaces to understand the adsorption orientation and energetics. To further validate the results, more accurate quantum mechanical (QM) calculations were also carried out, and the energetics between the QM and MM calculations are found to be similar. All the substitutions (−NH2, −CN, −COOH) except the methyl substitution exhibited favorable interactions compared to the unsubstituted MCM-41 surface which was in accordance with the experimental observations. The release rate of 5-FU from MCM-41 and aminopropyl-substituted MCM-41 (MCM-NH2) was studied using molecular dynamics simulations which revealed that the release rate of 5-FU from the MCM-NH2 surface was slower compared to that of plain MCM-41. The detailed surface characteristics and the adsorption energies from the molecular simulations correlating the loading capacity and release are reported in here.
Is mHealth Disrupting the Status Quo? Evidence from Implementations Highlighting Network vs. Hierarchical Institutional Logics

Health Management Information Systems (HMIS) in developing countries have yet to live up to expectations because of the significant proportion of implementation failures. Mobile health (mHealth) technologies are being adopted increasingly in Ministries of Health (MoHs) to address aspects of HMIS implementation failure, such as the timeliness and ease of data collection from the lowest levels of healthcare. However, networked technologies such as mobile technologies used in mHealth data collection can introduce a network logic into the organization. This network logic, which often favors open, non‐hierarchical modes of communication, must work with the traditional hierarchical bureaucratic logic of the HMIS and the MoH in which they become embedded. This paper conceptualizes the interaction between these two logics. It draws on succinct, empirical vignettes from two action‐research projects involving the use of mHealth technology to improve data collection for the HMIS in Nigeria.