Miracle-dz/UniFAR-FTUs huggingface dataset:
Customers’ Problems in Buying from Supermarkets in Bangladesh

Consumers' preferences, satisfaction and, loyalty towards supermarkets in Bangladesh have been studied but this study aims to identify the customers' problem in buying from the supermarkets and their socio-economic characteristics along with present scenario and economic significance of the supermarket industry in Bangladesh. The study is empirical, mixed-method has been deployed, 400 customers of the supermarkets were surveyed by mall intercept technique through a questionnaire, 6 in-depth interviews were conducted with the supermarkets' professionals and relevant articles, publication, books, reports, journals, newspapers and websites were reviewed. Descriptive statistics, chi-square tests, and factor analysis were performed in analyzing the data. There are 211 outlets of major supermarkets in Bangladesh, which are contributing 1.49 % to the GDP and generating significant employment. Upper-middle and high class, highly educated, small family are the customers who face the major problems of high cost due to additional tax, long waiting time at the payment queue, and unnecessary purchase while shopping from the supermarkets. All the demographic characteristics have a significant relationship with these problems except the marital status and family size. The supermarket industry needs to understand the customers' psychology; concentrate on enhancing the store facility, educate people on the attributes of the supermarkets and the policymakers can initiate a proper policy in operating the supermarket business in Bangladesh.
Lightweight secure communication system based on Message Queuing Transport Telemetry protocol for e‐healthcare environments

In recent years, with the advent of communication technologies, healthcare sensing and remote monitoring have undergone a significant evolution to addressing almost all current e‐health challenges. In view of this, the Internet of medical things (IoMT)‐based applications are evolved. However, security and privacy are the primary concern as vast numbers of devices are connected and communicated through the wireless environment. The direct involvement of humans in IoMT‐based healthcare applications made robust and secure communication among the sensors, actuators, and patients significant. In this direction, we proposed a novel security framework for Message Queuing Transport Telemetry (MQTT) protocol based on publish/subscribe messages, which is suitable for constrained and small devices in IoMT. In this paper, we proposed a lightweight hyper elliptic curve‐multiple shared key algorithm to derive session keys in order to encrypt/decrypt health readings from the sensors connected to the patient body. The comparative analysis of performance shows that the proposed method outperforms different existing techniques in terms of computational time by reducing the computational times of broker and producer/subscriber by 0.084 and 0.0168, respectively, than the best performed existing method (Malina et al.). Finally, the security analysis shows that the proposed framework is secure against physical attacks, key control, machine‐in‐the‐middle (MITM), non‐repudiation, replay, and naming based attacks.
Complexity of relationship between 2D/3D urban morphology and land surface temperature: A multi-scale perspective

Urban morphology is a crucial contributor to urban heat island (UHI) effects. However, few studies have explored the complex effect of 2D/3D urban morphology on UHI from a multi-scale perspective. In this study, We chose the central area of Jinan city, which was commonly known as the “furnace”, as the case study area. novel 2D/3D urban morphology indexes-building coverage ratio (BCR)(for assessing the 2D building density), building volume density (BVD)( for assessing the 3D building density), and the frontal area index (FAI)(for assessing 3D ventilation conditions) were calculated and derived to investigated complexity of relationship between 2D/3D urban morphology and land surface temperature(LST) at different scales using the maximum information coefficient (MIC) and geographically weighted regression (GWR). The results indicated that (1) These newly 2D/3D urban morphology indexes as essential factors that are responsible for LST variation, BCR is the most important urban morphology index affecting the LST, followed by BVD and FAI. Importantly, the relationship between the BCR, BVD, and FAI and the LST was an inverse U-shaped curve. (2) The relationship between 2D/3D urban morphology and LST variation showed a significant scale effect. With increased grid size, the correlation between the BCR, BVD, and FAI and the LST strengthened, “inflection point” of inverse U-shaped curve was significantly declined, and their explanation rate to LST first increased and then decreased, with a maximum value at the 700-m scale. Additionally, the FAI exerted a stronger negative effect, while the BCR and BVD generally had stronger positive effects on LST as the grid size increasing. This study extends our scientific understanding of the complexity effect of urban morphology on LST and is of great practical significance for urban thermal environment regulation at multi-scale.
Data Breach CAT Bonds: Modeling and Pricing

Data breaches cause millions of dollars in financial losses each year. The insurance industry has been exploring the ways to transfer such extreme risk. In this work, we investigate data breach catastrophe (CAT) bonds via developing a multiperiod pricing model. It is found that the nonstationary extreme value model can capture the statistical pattern of the monthly maximum of data breach size very well and, in particular, a positive time trend is discovered. For the financial risks, data-driven time series approaches are proposed to model the complex patterns exhibited by the financial data, which are different from those in the literature. Simulation studies are performed to determine the bond prices and cash flows. Our results show that the data breach CAT bond can be an attractive financial product and an effective instrument for transferring the extreme data breach risk.
Robust ensemble of handcrafted and learned approaches for DNA-binding proteins

PurposeAutomatic DNA-binding protein (DNA-BP) classification is now an essential proteomic technology. Unfortunately, many systems reported in the literature are tested on only one or two datasets/tasks. The purpose of this study is to create the most optimal and universal system for DNA-BP classification, one that performs competitively across several DNA-BP classification tasks.Design/methodology/approachEfficient DNA-BP classifier systems require the discovery of powerful protein representations and feature extraction methods. Experiments were performed that combined and compared descriptors extracted from state-of-the-art matrix/image protein representations. These descriptors were trained on separate support vector machines (SVMs) and evaluated. Convolutional neural networks with different parameter settings were fine-tuned on two matrix representations of proteins. Decisions were fused with the SVMs using the weighted sum rule and evaluated to experimentally derive the most powerful general-purpose DNA-BP classifier system.FindingsThe best ensemble proposed here produced comparable, if not superior, classification results on a broad and fair comparison with the literature across four different datasets representing a variety of DNA-BP classification tasks, thereby demonstrating both the power and generalizability of the proposed system.Originality/valueMost DNA-BP methods proposed in the literature are only validated on one (rarely two) datasets/tasks. In this work, the authors report the performance of our general-purpose DNA-BP system on four datasets representing different DNA-BP classification tasks. The excellent results of the proposed best classifier system demonstrate the power of the proposed approach. These results can now be used for baseline comparisons by other researchers in the field.
Draft Genome Sequence of Xylaria grammica EL000614, a Strain Producing Grammicin, a Potent Nematicidal Compound

Abstract An endolichenic fungus, Xylaria grammica strain EL000614, showed strong nematicidal effects against plant pathogenic nematode, Meloidogyne incognita by producing grammicin. We report genome assembly of X. grammica EL000614 comprised of 25 scaffolds with a total length of 54.73 Mb, N50 of 4.60 Mb, and 99.8% of BUSCO completeness. GC contents of this genome were 44.02%. Gene families associated with biosynthesis of secondary metabolites or regulatory proteins were identified out of 13,730 gene models predicted.
Daily Patterns of River Herring (
 Alosa
 spp.) Spawning Migrations: Environmental Drivers and Variation among Coastal Streams in Massachusetts

The timing of life history events in many plants and animals depends on the seasonal ﬂ uctuations of speci ﬁ c environmental conditions. Climate change is altering environmental regimes and disrupting natural cycles and patterns across communities. Anadromous ﬁ shes that migrate between marine and freshwater habitats to spawn are particularly sensitive to shifting environmental conditions and thus are vulnerable to the effects of climate change. However, for many anadromous ﬁ sh species the speci ﬁ c environmental mechanisms driving migration and spawning patterns are
The assembly of caprine Y chromosome sequence reveals a unique paternal phylogenetic pattern and improves our understanding of the origin of domestic goat

Abstract The mammalian Y chromosome offers a unique perspective on the male reproduction and paternal evolutionary histories. However, further understanding of the Y chromosome biology for most mammals is hindered by the lack of a Y chromosome assembly. This study presents an integrated in silico strategy for identifying and assembling the goat Y‐linked scaffolds using existing data. A total of 11.5 Mb Y‐linked sequences were clustered into 33 scaffolds, and 187 protein‐coding genes were annotated. We also identified high abundance of repetitive elements. A 5.84 Mb subset was further ordered into an assembly with the evidence from the goat radiation hybrid map (RH map). The existing whole‐genome resequencing data of 96 goats (worldwide distribution) were utilized to exploit the paternal relationships among bezoars and domestic goats. Goat paternal lineages were clearly divided into two clades (Y1 and Y2), predating the goat domestication. Demographic history analyses indicated that maternal lineages experienced a bottleneck effect around 2,000 YBP (years before present), after which goats belonging to the A haplogroup spread worldwide from the Near East. As opposed to this, paternal lineages experienced a population decline around the 10,000 YBP. The evidence from the Y chromosome suggests that male goats were not affected by the A haplogroup worldwide transmission, which implies sexually unbalanced contribution to the goat trade and population expansion in post‐Neolithic period.
Letter from Academia Cultural Fit of Assessments to Detect Curiosity for Weak Signals Among Employees

To remain competitive, organizations must make sense of antecedent weak signals that might yield information on opportunities or threats. However, perceiving those signals requires psychological capabilities which are not evenly distributed over their workforce. Identifying who might effectively sense weak antecedent signals is the necessary first step in the staff selection and management process. To this effect, Human Resources Management processes at organizations rely on assessments. However, this study suggests that some self-assessments might be too context-sensitive to fit their purpose across cultures. In particular, the CEI-II evaluation applied to a small and convenience sample of Brazilian executives did not satisfy Brazilian respondents’ selection for curiosity. The authors briefly discuss how the Brazilian context may differ, not least because of a considerably lower generalized trust level, and suggest relying alternatively on projective instruments.
Bundled Earnings Guidance and Analysts' Forecast Revisions*

Bundling managerial earnings guidance with quarterly earnings announcements (EAs) has become an increasingly common practice. This study investigates the impact of bundled guidance on analysts’ forecast revisions. Our findings indicate that analysts respond more to bundled guidance than non-bundled guidance. This effect increases with analysts’ time pressure and cognitive constraints around the EA. Analysts’ revisions also incorporate more of the bundled management guidance when accompanied by additional information, such as conference calls. We further find that analysts revise their forecasts more quickly following bundled guidance than non-bundled guidance. Together, these findings are consistent with the notion that analysts place more weight on bundled guidance than non-bundled guidance in their forecast revisions as bundled guidance facilities analysts’ timely forecast revisions following EAs. Finally, we find that analysts’ forecast revisions following bundled guidance generate significant market reactions. Our findings enhance our understanding of analysts’ information processing and shed light on why bundling can be an effective guidance strategy.
Spring onsets of a young forest in interior Alaska determined based on time‑lapse camera and eddy covariance measurements

Spring phenology is essential in modeling the carbon balance of high‑latitude ecosystems and is possibly sensitive to climate change. In the present study, we evaluated the onset of the growing season for three species ( paper birch, bog blueberry, and bog Labrador tea ) in interior Alaska from 2012 to 2019 using photos taken using time‑lapse cameras. We also evaluated the onset of the growing season at the ecosystem scale from 2010 to 2019 on the basis of the CO 2 flux by the eddy covariance method at the site. On the basis of the growing degree‑day ( GDD ) model with the parameters estimated using the Bayesian approach, we found that the interannual variations in the spring onsets were explained by the model, and the thermal forcing requirement differed among the species. At the ecosystem scale, the spring onset was closely linked to the snow disappearance date. Under the possible future climate scenarios indicated by the representative concentration pathway 8.5 scenario, the spring onsets were predicted to be one to three weeks earlier than the present dates for the three species. The ecosystem‑scale onsets were also predicted to be five days to a little over a month earlier at the end of this century. The future spring onset is highly sensitive to the snow disappearance date for high‑latitude vegetation; thus, further understanding of climate change before snowmelting is required.
3D printing‐enabled advanced electrode architecture design

A high ‐ performance energy storage device plays an important role in controlling carbon emissions. The emerging additive manufacturing techniques bring a great revolution of electrode fabrication process and promote the performance of energy storage devices through the advanced electrode architecture design. In this paper, recent studies on the three ‐ dimensional (3D) ‐ printed electrode with advanced architecture have been mainly reviewed, including interdigitated structure, through ‐ thickness aligned structure, hierarchical porous structure and fiber and fibric structure of electrodes, and ex-pectations for the development of novel advanced electrode architecture generated and optimized by computational simulation and machine learning. The strategy of advanced electrode architecture design and fabrication enabled by the 3D printing technique represents a promising direction toward future energy storage devices with high electrochemical and mechanical performance.
A Methodology approach for the comparison of cases in space syntax and morphology studies

The aim of this paper is examining a research design methodology approach. This methodology approach is mainly focusing on investigating the comparison of consistent cases within a research structure. The comparison is carried out through the 2D drawing layouts such as plans in the selected study. Although the main concern is examining the methodology covering the comparison of low-rise apartments’ domestic space plan layouts, the exemplar study is also introduced briefly within the paper for a better understanding of the introduced comparison structure and the part of the methodology scrutinized. Comparison of plan layouts related cases in space syntax and morphology studies is the starting point. Afterwards, the discussion on the selection of similar plan types (2D drawings) in meaning and sizes made the methodology introduced possible. Focusing on an architectural design related research study is a crucial part of this paper supporting the core discussion. For this reason, focusing on a former research based on architectural design related domestic space investigation with its context related to low-rise apartment plans’ in Istanbul was needed. Other than domestic space investigations, this approach may also be applied to similar investigations covering building design morphology and spatial syntax related researches focusing on the comparison of cases depending on a systematic selection. The selection of the analyzed cases in this design methodology approach is crucial with their similar extent of plan sizes and semantic coherence in relation with their use of spaces. Environment-Behavior Studies related research context is also crucial for this methodology approach. Behavioral circuits, behavior setting, and culture-ecology perspective within the building scale should be primarily discussed in order to use this paper’s methodological approach.
Analysis of Climate Change Projections for Mozambique under the Representative Concentration Pathways

Despite having contributed the least to global warming and having the lowest emissions, the African region is the most vulnerable continent to climate change impacts. To reduce the levels of risk arising from climate change, it is mandatory to combine both mitigation and adaptation. While mitigation can reduce global warming, not all impacts can be avoided. Therefore, adaptation is essential to advance strategic interventions and reduce the impacts. As part of the international effort to cope with changing climate, a set of Coordinated Regional Downscaling Experiment (CORDEX) domains have been established worldwide. The CORDEX-Africa initiative has been developed to analyze downscaled regional climate data over the African domain for climate data analysis techniques and engage users of climate information in both sector-specific and region/space-based applications. This study takes outputs of high-resolution climate multi-models from the CORDEX-Africa initiative constructed at a spatial resolution of 50 km to assess climate change projections over Mozambique. Projected spatial and temporal changes (three 30-year time periods, the present (2011–2040), mid (2041–2070), and the end (2071–2100)) in temperature and precipitation under the Representative Concentration Pathways RCP2.6, RCP4.5, and RCP8.5 are analyzed and compared relative to the baseline period (1961–1990). Results show that there is a tendency toward an increase in annual temperature as we move toward the middle and end of the century, mainly for RCP4.5 and RCP8.5 scenarios. This is evident for the Gaza Province, north of the Tete Province, and parts of Niassa Province, where variations will be Tmax (0.92 to 4.73 °C), Tmin (1.12 to 4.85 °C), and Tmean (0.99 to 4.7 °C). In contrast, the coastal region will experience less variation (values < 0.5 °C to 3 °C). At the seasonal scale, the pattern of temperature change does not differ from that of the annual scale. The JJA and SON seasons present the largest variations in temperature compared with DJF and MAM seasons. The increase in temperature may reach 4.47 °C in DJF, 4.59 °C in MAM, 5.04 °C in JJA, and 5.25 °C in SON. Precipitation shows substantial spatial and temporal variations, both in annual and seasonal scales. The northern coastal zone region shows a reduction in precipitation, while the entire southern region, with the exception of the coastal part, shows an increase up to 40% and up to 50% in some parts of the central and northern regions, in future climates for all periods under the three reference scenarios. At the seasonal scale (DJF and MAM), the precipitation in much of Mozambique shows above average precipitation with an increase up to more than 40% under the three scenarios. In contrast, during the JJA season, the three scenarios show a decrease in precipitation. Notably, the interior part will have the largest decrease, reaching a variation of −60% over most of the Gaza, Tete, and Niassa Provinces.
Strigolactone Alleviates Herbicide Toxicity via Maintaining Antioxidant Homeostasis in Watermelon (Citrullus lanatus)

Strigolactone (SL) plays essential roles in regulating plant growth, development, and stress response. This study was conducted to evaluate the effect of exogenous SL on watermelon resistance against herbicides penoxsulam (PXL) and bensulfuron-methyl (BSM). These herbicides were found to negatively impact watermelon root growth and photosynthetic pigments, probably due to the ultrastructural damage and cell death in leaf and root tissues under herbicide stresses. The activation of SL-related gene expression suggested that the SL pathway may mitigate herbicide toxicity in watermelon. The exogenous SL dose-dependently reversed the PXL- or BSM-induced antioxidant activity, suggesting that SL may participate in maintaining antioxidant enzyme homeostasis under herbicide stresses. The up-regulation of herbicide metabolization and detoxification-related genes (cytochrome P450 and acetolactate synthase) by exogenous SL also in part explained how this phytohormone alleviates herbicide toxicity in watermelon. Our findings will provide valuable information underlying the regulatory effects of SL on herbicide tolerance in Cucurbitaceae crops.
Quality Attributes of Malaysia Purple-Fleshed Sweet Potato at Different Peel Condition

In this study, physical and chemical properties (dry matter, ash, moisture, protein, fat, fiber, carbohydrate, starch, amylose, and vitamin C) of sweet potato tuber and flour of Anggun 1 cultivar were evaluated at different conditions. During peeling, the tuber and flour were processed subjected to three different conditions, which were unpeeled tubers (C1), peeled tubers (C2), and skin of tuber only (C3). From the results, the highest (p < 0.05) dry matter was observed in C1 while higher contents of ash, moisture, and protein were found in C3. Regarding the fat and vitamin C content, no significant differences (p > 0.05) were found between each condition. The highest fiber, carbohydrate, and amylose content (p < 0.05) were found in C1. The C1 and C2 reflected significantly higher (p < 0.05) starch content. Overall, these results provide important information about the peeling effect on the physical and chemical properties of Anggun 1. The information could be used as adding value to healthy food in the Malaysian diet due to the nutritional value of sweet potato.