Miracle-dz/UniFAR-FTUs huggingface dataset:
The Sustainable Digitalization in the Manufacturing Industry: A Bibliometric Analysis and Research Trend

Digital technologies are shown to perform a vital role in developing a resource-efficient industrial base. The effective adoption of digital technologies can help reduce costs and improve the sustainability and flexibility of manufacturing industries. However, how digital technologies favor the transition towards manufacturing systems has not been analyzed in detail yet, so more conceptual and empirical investigation is required in this field. This study investigates the digital transformation trend in the manufacturing industry by combining the bibliometric method with life cycle mode and literature mining. An integrated data analysis system (IDAS) is developed, which includes data collection, data analysis, and visualization processes. As a result, dual-map overlay, keywords clusters, Timeline, and Time zone views are visualized to identify the research trend with the three main aspects: design, larger integrated circuit, and sustainable manufacturing concept evolution. Besides, to recognize potentials for future development of the domain, life cycle model-based technological trajectory is identified, constructing an information society, the combination of tools, and the performance improvement of the whole digital transformation. Moreover, in response to sustainable development, a system considering business strategies and cultural delivery, technological integration, and partner participation and evaluation is developed, which could cope with complex manufacturing processes due to different industrial tasks in different regions.
Metal Complexes of Gatifloxacin: Synthesis, Characterization and Evaluation of Biological Activity

The antibiotic agent Gatifloxacin is well known for its drug design and coordinating ability towards metal ions. In this paper, synthesis and biological activity of Mn(II), Co(II), Ni(II), Cu(II) and Mg(II) complexes of gatifloxacin is reported. Ligand is itself prepared using o-phenylenediamine (OPD) and 3-acetyl coumarin. The structure of complexes has been investigated using some physiochemical and spectroscopic techniques. In vitro evaluation of these complexes was also carried out for antibacterial and antimicrobial activity. Some complexes exhibited promising anti-bacterial and antimicrobial activity compared to gatifloxacin drug.
Exogenously-Sourced Ethylene Positively Modulates Photosynthesis, Carbohydrate Metabolism, and Antioxidant Defense to Enhance Heat Tolerance in Rice

The effect of exogenously-applied ethylene sourced from ethephon (2-chloroethyl phosphonic acid)was studied on photosynthesis, carbohydrate metabolism, and high-temperature stress tolerance in Taipei-309 and Rasi cultivars of rice (Oryza sativa L.). Heat stress increased the content of H2O2 and thiobarbituric acid reactive substances (TBARS)more in Rasi than Taipei-309. Further, a significant decline in sucrose, starch, and carbohydrate metabolism enzyme activity and photosynthesis was also observed in response to heat stress. The application of ethephon reduced H2O2 and TBARS content by enhancing the enzymatic antioxidant defense system and improved carbohydrate metabolism, photosynthesis, and growth more conspicuously in Taipei-309 under heat stress. The ethephon application enhanced photosynthesis by up-regulating the psbA and psbB genes of photosystem II in heat-stressed plants. Interestingly, foliar application of ethephoneffectively down-regulated high-temperature-stress-induced elevated ethylene biosynthesis gene expression. Overall, ethephon application optimized ethylene levels under high-temperature stress to regulate the antioxidant enzymatic system and carbohydrate metabolism, reducing the adverse effects on photosynthesis. These findings suggest that ethylene regulates photosynthesis via carbohydrate metabolism and the antioxidant system, thereby influencing high-temperature stress tolerance in rice.
Weak Mesoscale Variability in the Optimum Interpolation Sea Surface Temperature (OISST)-AVHRR-Only Version 2 Data before 2007

Mesoscale sea surface temperature (SST) variability triggers mesoscale air–sea interactions and is linked to ocean subsurface mesoscale dynamics. The National Oceanic and Atmospheric Administration (NOAA) daily Optimum Interpolation SST (OISST) products, based on various satellite and in situ SST data, are widely utilized in the investigation of multi-scale SST variabilities and reconstruction of subsurface and deep-ocean fields. The quality of OISST datasets is subjected to temporal inhomogeneity due to alterations in the merged data. Yet, whether this issue can significantly affect mesoscale SST variability is unknown. The analysis of this study detects an abrupt enhancement of mesoscale SST variability after 2007 in the OISST-AVHRR-only version 2 and version 2.1 datasets (hereafter OI.v2-AVHRR-only and OI.v2.1-AVHRR-only). The contrast is most stark in the subtropical western boundary current (WBC) regions, where the average mesoscale SST variance during 2007–2018 is twofold larger than that during 1993–2006. Further comparisons with other satellite SST datasets (TMI, AMSR-E, and WindSAT) suggest that the OISST-AVHRR-only datasets have severely underestimated mesoscale SST variability before 2007. An evaluation of related documents of the OISST data indicates that this bias is mainly caused by the change of satellite AVHRR instrument in 2007. There are no corresponding changes detected in the associated fields, such as the number and activity of mesoscale eddies or the background SST gradient in these regions, confirming that the underestimation of mesoscale SST variability before 2007 is an artifact. Another OISST product, OI.v2-AVHRR-AMSR, shows a similar abrupt enhancement of mesoscale SST variability in June 2002, when the AMSR-E instrument was incorporated. This issue leaves potential influences on scientific research that utilize the OISST datasets. The composite SST anomalies of mesoscale eddies based on the OI.v2-AVHRR-only data are underestimated by up to 37% before 2007 in the subtropical WBC regions. The underestimation of mesoscale variability also affects the total (full-scale) SST variability, particularly in winter. Other SST data products based on the OISST datasets were also influenced; we identify suspicious changes in J-OFURO3 and CFSR datasets; the reconstructed three-dimensional ocean products using OISST data as input may also be inevitably affected. This study reminds caution in the usage of the OISST and relevant data products in the investigation of mesoscale processes.
Solution to Vehicle Routing Problem with Genetic Algorithm Solución al Problema de Ruteo de Vehículos Empleando Algoritmo Genético

This paper compares two methods to solve the classic problem of vehicle routing (VRP), well known for its acronym in English (Vehicle Routing Problem), introduced by Dantzig and Ramser in 1959, which is to minimize the cost to distribute the goods from one warehouse to a set of clients, which uses an accurate method of linear programming and goal heuristic based on genetic algorithms. The object of comparison is the benchmark problem developed by Christofides (1976). In the comparison will be considered historically the best results to date and those obtained in the development of this paper.
Vibe check: social resonance learning for enhanced recommendation

Social Resonance is a common socio-behavioral phenomenon in which users are more influenced by opinions that have similar vibes. That is, opinions from two different groups of users can mutually reinforce (or resonate with) each other to have an even stronger impact on the user. In this paper, we explore the powerful social resonance effect between social connections and other users in an eCommerce platform to improve recommendation. Specifically, we first formulate an item-aware user influence network that connects users who rate the same item. With the social network and item-aware user influence network, a novel graph-based mutual learning framework is proposed, which captures the resonance influence from both user local correlations and global connections. We then fuse these influence paths to predict the resonance-enhanced user preference towards items. Experiments on public benchmarks show the proposed approach outperforms state-of-the-art social recommendation methods.
Islamic perspectives on risk and insurance marketing

This chapter sets out to achieve two key aims: to present the philosophical and critical perspectives underpinning the marketing of Islamic insurance products and services and to provide the foundation and basis for recommending appropriate stepwise marketing practices. A final point of reference is that it is assumed within this chapter that the insurance products in question have been created already and so discussions focus on branding, marketing communications, consumer behaviour and service delivery of these products. Product issues surrounding the design and Sharia’ compliance (codes and laws derived from Islam) fall outside of the scope of this chapter, but are covered in Chapter 26. The chapter thus bridges the gap between conventional marketing theory and practice that calls for specialized understanding, positioning and execution. Having stated this, it is also important to assert that in this chapter, marketing, Islam and Muslims are not viewed as monolithic entities or homogenous units, nor does the marketing of Islamic financial services necessarily signal a complete departure from conventional marketing concepts or simply a niche area. Rather, each are interconnected, culturally rooted and subject to environmental factors. The three key factors argued for are the call to evaluate Muslims’ perspectives concerning risk, appraising the needs of a broad base of stakeholders and modes of communication subject to cultures and geographies.
Influence of Melatonin on Behavioral and Neurological Function of Rats with Focal Cerebral Ischemia-Reperfusion Injury via the JNK/FoxO3a/Bim Pathway

Objective To investigate the influence of melatonin on behavioral and neurological function of rats with focal cerebral ischemia-reperfusion injury via the JNK/FoxO3a/Bim pathway. Methods One hundred and twenty healthy male SD rats were randomized into the model group (Model: the middle cerebral artery occlusion (MCAO) model was constructed and received an equal volume of normal saline containing 5% DMSO), sham operation group (Sham: received no treatment except normal feeding), and low, medium, and high dose of melatonin group (L-MT, M-MT, and H-MT intraperitoneally injected 10, 20, and 40 mg/kg melatonin 30 min after IR, respectively), with 24 rats in each group. Following 24 h of reperfusion, the rats in each of the above groups were tested for neurological deficit symptoms and behavioral changes to screen the rats included in the study. HE and TUNEL stainings were performed to observe pathological changes. Levels of oxidative stress-related indexes, inflammatory factor-related indexes, nuclear factor-κB p65 (NF-κB p65), and interferon-γ (IFN-γ) in the rat brain were measured by ELISA. The JNK/FoxO3a/Bim pathway-related proteins as well as Bcl-2, Caspase-3, and Bax were examined using Western blot. Results Detection of behavioral indicators showed that the MACO model was successfully constructed in rats. L-MT, M-MT, and L-MT groups presented reduced malondialdehyde (MDA), reactive oxygen species (ROS), tumor necrosis factor- (TNF-) α, interleukin- (IL-) 6, IL-1β, IFN-γ, NF-κB p65, and apoptosis compared with the Model group (P < 0.05), and the improvement degree was better in the M-MT group versus the L-HT group. Bcl-2 protein expression in the brain tissue of L-MT, M-MT, and H-MT groups increased significantly, while Bax, Caspase-3, p-JNK, p-FoxO3a, and Bim protein expression declined markedly, versus the Model group (P < 0.05). The changes of indexes were greater in the M-MT group compared with that in the L-MT group. No significant difference was observed in all the above indexes between the M-MT group and the H-MT group (P > 0.05). Conclusions In the MACO rat model, melatonin can effectively reduce Bax and Caspase-3 levels by modulating the JNK/FoxO3a/Bim pathway, inhibit neuronal apoptosis, and alleviate neurological deficits by reducing the release of proinflammatory mediators, with anti-inflammatory and antioxidant effects. In addition, 20 mg/kg is the optimal melatonin concentration.
A Robust Hand Gesture Recognition Using Combined Moment Invariants in Hand Shape

In this paper, we suggest a method that recognizes hand gesture based on moment features in hand shape. First of all, hand regions are segmented from input streams based on skin color detection. Hand detection can be achieved more easily if smart devices such as Kinect are used but we used web camera as an input device. Because hand and also face can be segmented from a frame, we try to remove face from the segmented result. From segmented hand regions palm region is extracted by removing wrist and then moment invariants are calculated from the palm region. Finally we use artificial neural network to classify the classes of the hand gestures. We perform recognition test for input patters with trained DB of 7 classes that contains hand gesture of rock-paper-scissors game and 3 different kinds of hand shape concerned with robot control.
Multi-criteria appraisal recommendation

Abstract Generating the overall assessments of cases from their observations on multiple criteria when large volumes of historical data have been accumulated is a key issue. This study, therefore, developed the framework of multi-criteria appraisal recommendation (MCAR). Five strategies belonging to three categories were designed to recommend the overall appraisals of new cases from their observations on multiple criteria based on relevant historical data. The proposed framework’s basic conditions and key issues were presented to widen its application. The framework was then used to generate the diagnostic recommendations for thyroid nodules from their observations based on the historical examination reports of six radiologists. The experimental results indicated that different strategies are appropriate for different radiologists, and no single strategy was found to be the most appropriate for all considered radiologists. The five strategies were compared with four representative machine learning models to highlight their performances and interpretabilities using the historical examination reports of the radiologists.
Systematic review methods

ABSTRACT Increasingly, sport and exercise psychology researchers are using systematic review methods to examine the evidence on a particular topic. Unfortunately, not all systematic reviews are created equal and the methodological quality of the review will depend on the quality of the methods used in the review process. The purpose of this paper is to provide an overview of essential methods and resources used in systematic reviews that serve to increase transparency, replicability, robustness, ethics, and translation of results. To achieve our purpose, we describe aspects of the systematic review process including best standards for planning and conducting a systematic review, coherence, literature searches, article screening, data extraction, reporting guidelines, open science practices, publication ethics, and disseminating results. In providing an overview of these methods for systematic reviews, we highlight relevant literature, resources, and examples from the sport and exercise psychology literature. Finally, we offer nine guidelines to follow to enhance systematic review methods used in sport and exercise psychology.
Case-Control Study Comparing the Relationship between Pain, Neurobehavioral Functioning and a History of Playing Professional Contact Sports

Objective: Chronic pain is known to affect neurocognitive function- ing; retired professional athletes are at high risk of having chronic musculoskeletal pain. However, this relationship has not been in-vestigated in retired professional contact sport athletes who are sus- pected to have early neurocognitive decline due to repetitive head injuries during their careers. Participants: Twenty-one retired National Football League and National Hockey League players (Contact Sport, CS) and 21 age-matched non-contact sport athletic controls (Non-contact Sport, NS). Design: Case-control Main measures: Behavior Regulatory Index (BRI) and Metacogni- tive Index (MI) from Behavioral Rating Inventory of Executive Func-tion-Adult, anxiety from Beck Anxiety Index, depression from Beck Depression Inventory-II, and Pain Intensity and Interference from Patient Reported Outcome Measure Information System-43. Results: CS group reported significantly more pain intensity and interference (p<0.001) than NS. On exploratory binary logistic re-gressions, body mass index (p=0.039), pain interference (p=0.014), and anxiety (p=0.010) were significant predictors of BRI. Pain interference (p=0.002) was the sole significant predictor of MI. A history of playing contact sports was significant for neither. Conclusion: Our results suggest there may be important causes of early neurocognitive decline in this population other than just a history of playing contact sports.
Sustainability of Vertical Farming in Comparison with Conventional Farming: A Case Study in Miyagi Prefecture, Japan, on Nitrogen and Phosphorus Footprint

The reduced requirement for nutrients in vertical farming (VF) implies that the potential for lower environmental impact is greater in VF than in conventional farming. In this study, the environmental impacts of VF were evaluated based on a case study of VF for vegetables in Miyagi Prefecture in Japan, where VF has been utilized in post-disaster relief operations in the wake of the 2011 Great East Japan Earthquake. The nitrogen (N) and phosphorus (P) footprints of these VFs were determined and analyzed to quantify the potential reduction in N and P emissions. First, the N and P footprints in conventional farming were calculated. Then, those footprints were compared with three different scenarios with different ratios for food imports, which equate to different levels of food self-sufficiency. The results show a decrease in the N and P footprints with increased prefectural self-sufficiency due to the introduction of VF. In addition to reducing the risks to food supply by reducing the dependence on imports and the environmental impacts of agriculture, further analysis reveals that VF is suitable for use in many scenarios around the world to reliably provide food to local communities. Its low vulnerability to natural disasters makes VF well suited to places most at risk from climate change anomalies.
ALINHAMENTO E MATURIDADE NA GER NCIA DE TI EM SEGMENTO TRADICIONAL DA IND⁄STRIA: O SETOR SUCROALCOOLEIRO ALIGNMENT AND MATURITY IN IT MANAGEMENT IN INDUSTRY TRADITIONAL SEGMENT: THE SUGARCANE INDUSTRY

The aim of this study was to analyze the sugarcane industry of the northeast with the intention of identifying variables that describe the alignment process, if any, between business strategies and ALINHAMENTO E MATURIDADE NA GERENCIA DE TI EM SEGMENTO TRADICIONAL DA INDUSTRIA: O SETOR SUCROALCOOLEIRO Joao Paulo de Medeiros Neto Rodolfo Araujo de Moraes Filho 31 R. eletr. estrat. neg. , Florianopolis, v.6, n.2, p. 3-34, mai. /ago. 2013 IT strategies. It sought to fill a gap in the literature where most of the investigations into alignment in the country have focused on more dynamic branches with special emphasis on banking segment, where the relationship between IT investments and productivity is more evident. The research is based on recent works on the assessment of the technological development benefits, ie, how funds invested in ICT promote support to companies giving them (or not), competitiveness (productivity paradox). For this purpose, interviews were conducted with managers of strategic areas in 14 plants of this sector in Pernambuco (total 19), referenced by the alignment model of Henderson and Venkatraman and endorsed by Albertin (2009). And also the maturity analysis of this alignment defined by Luftman (2000). The strategic alignment was characterized with a group identified as modern practicing the IT use with greater intensity and a more traditional group that cares about IT, but in a less active way. In the alignment process was evident the importance of a proficient team of managers (IT and Business) that excel in dialogue, seeking to implement IT solutions in line with the company’s business strategies. As further study, it is suggested the research for expanding the sample, extending the research universe to the national sugarcane market. Key-Words: Information Technology. Strategy. Sugarcane industry.
Relevant Fusarium Mycotoxins in Malt and Beer

Mycotoxins are secondary fungal metabolites of high concern in the food and feed industry. Their presence in many cereal-based products has been numerously reported. Beer is the most consumed alcoholic beverage worldwide, and Fusarium mycotoxins originating from the malted and unmalted cereals might reach the final product. This review aims to describe the possible Fusarium fungi that could infect the cereals used in beer production, the transfer of mycotoxins throughout malting and brewing as well as an insight into the incidence of mycotoxins in the craft beer segment of the industry. Studies show that germination is the malting step that can lead to a significant increase in the level of all Fusarium mycotoxins. The first step of mashing (45 °C) has been proved to possess the most significant impact in the transfer of hydrophilic toxins from the grist into the wort. However, during fermentation, a slight reduction of deoxynivalenol, and especially of zearalenone, is achieved. This review also highlights the limited research available on craft beer and the occurrence of mycotoxins in these products.
Cell-Free IoT Networks With SWIPT: Performance Analysis and Power Control

In this article, the performance of simultaneous wireless information and power transfer (SWIPT) in downlink (DL) Internet of Things (IoT) networks relying on the cell-free massive multiple-input–multiple-output (CF-mMIMO) technique is investigated. In such a network, the access points (APs) beam the radio-frequency (RF) energy toward IoT sensors during the DL wireless power transfer phase. Tight closed-form expressions for DL harvested energy (HE) and achievable rate with conjugate beamforming (CB) and normalized CB (NCB) are, respectively, derived, which enable us to analyze the behaviors of CB and NCB schemes in terms of both HE and achievable rate. Apart from this, to guarantee sensor fairness with respect to the HE and achievable rate, a max–min power control strategy based on the accelerated projected gradient (APG) method is proposed. Specifically, the proposed APG-based power control is able to determine the optimal solution in closed form and is more memory efficient than the convex-solver-based counterpart. These analytical results as well as the effectiveness of the proposed power control policy are verified by experimental simulations.