Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Corporate Social Responsibility on Behavioral Intention: Customers’ Responses to Two Types of Fit

ABSTRACT Although interest is increasing in understanding customers’ corporate social responsibility (CSR) behavior, empirical research examining potential mediators between CSR activities and customers’ patronized behavior remains lacking. Thus, based on congruence theory, this article explores the role of CSR fit in behavioral outcomes. This study further developed and introduced dual types of fits, including customer–CSR fit and company–CSR fit in the hotel context. The two fits are tested as the consequence of CSR perception and antecedent of revisit intention. By using SmartPLS, results show that customers tend to exhibit revisit intention when they perceived the similarity between hotel and CSR activities than personal value relevance. The findings suggest that hotel companies need to design their CSR strategies to enhance congruence through effective communication.
Mid-19th-century building structure locations in Galicia and Austrian Silesia under the Habsburg Monarchy

Abstract. We produced a reconstruction of mid-19th-century building structure locations in former Galicia and Austrian Silesia (parts of the Habsburg Monarchy), which are located in present-day Czechia, Poland, and Ukraine and cover more than 80 000 km2. Our reconstruction was based on a homogeneous series of detailed Second Military Survey maps (1:28 800) that were the result of a cadastral mapping (1:2880) generalization. The dataset consists of two types of building structures based on the original map legend – residential and outbuildings (mainly farm-related buildings). The dataset's accuracy was assessed quantitatively and qualitatively by using independent data sources and may serve as an important input in studying long-term socioeconomic processes and human–environmental interactions or as a valuable reference for continental settlement reconstructions. The dataset is available at https://doi.org/10.17632/md8jp9ny9z.2 (Kaim et al., 2020a).
Wake-up Radio-enabled Intermittently-powered Devices for Mesh Networking: A Power Analysis

This paper analyzes the successful communication probability between two intermittently-powered nodes in a homogeneous energy harvesting (EH) mesh network. Powering devices using EH can enable networks to operate indefinitely; however, with limited energy storage and in scarce EH conditions, nodes may only be intermittently-powered. This reduces the effectiveness of conventional networking techniques, where listening modes of radios deplete the storage too quickly, rendering nodes useless. This is particularly problematic in the deployment of mesh networks, where there is no provision of a high-power coordinator. To counter this, wake-up receivers (WuRxs) provide extended listening time without the need for a high power conventional radio, but with a cost to sensitivity. Therefore, listening time must be balanced with transmission and wake-to-receive cost, where if all the harvested energy is spent listening none remains to transmit, and vice versa. From stochastic analysis and simulation of the energy usage in mesh nodes, we obtain the optimum transmission load to maximize goodput, which is the rate of successful communications. We include the cost of each wake-up based on the network size in our goodput analysis. Simulations for a fixed number of homogeneous nodes verify this. Furthermore, we model and evaluate the energy consumption trade-off between transmit power and WuRx sensitivity to enable the maximum goodput.
Optimal sampling pattern for free final time linear quadratic regulator: the scalar case

The optimal sampling problem is the selection of the optimal sampling instants together with the optimal control actions such that a given cost function is minimised. In this article, we solve the optimal sampling problem for free final time linear quadratic regulator with scalar dynamical system. The solution provides the optimal sampling instants, control actions and the optimal final time in a recursive and constructive way for any arbitrary number of samples , as it is not based on asymptotic arguments. An application example shows the feasibility of the approach.
The added value of CA125 normalization before interval debulking surgery to the chemotherapy response score for the prognostication of ovarian cancer patients receiving neoadjuvant chemotherapy for advanced disease

Objective: To investigate whether CA125 normalization following neoadjuvant chemotherapy (NACT) can complement the chemotherapy response system (CRS) in the prognostication of patients with tubo-ovarian high-grade serous carcinoma (HGSC). Methods: In total, 118 HGSC patients who received NACT followed by interval debulking surgery (IDS) for FIGO stage IIIC-IV disease were included, and their clinical data were retrospectively reviewed. The primary endpoint was progression-free survival (PFS). Cox regression analysis was performed to identify predictors of PFS. Results: Following NACT, CRS3 was noted in 35 patients (29.7%), and CA125 normalization (≤ 35 U/ml) was noted in 54 patients (45.8%). Both CRS3 and CA125 normalization were identified as independent prognosticators of PFS. Combining these two factors, we stratified the 106 patients into three groups with different risks of recurrence: low-risk group (CRS3 + post-NACT CA125≤ 35 U/ml; n = 17, 14.4%), intermediate-risk group (CRS3 + post-NACT CA125 > 35 U/ml; n = 19, 16.1%) and high-risk group (CRS1-2; n= 82, 69.5%). The differences in PFS between the three groups were significant (log-rank test, P < 0.0001). In Cox regression analyses, the new stratification method was found to have an independent prognostic effect. Conclusion: Both the CRS system and the normalization of CA125 following NACT could reliably predict the risk of recurrence following primary treatment. The combination of the two factors refined the prognostic stratification of HGSC patients who were treated with NACT and IDS.
Combined Neutron and X-ray Powder Diffraction Study of Zeolite Ca LSX and a 2H NMR Study of Its Complex with Benzene

The crystal structure of a low-silica zeolite with the faujasite structure, Ca LSX (Si/Al = 1), has been determined from powder X-ray and neutron diffraction data. The crystal structure was refined by the Rietveld least-squares method in the cubic space group Fd3 [a = 25.1080(1) A]. The final R{sub wp}-factor and the {Chi}{sup 2} for the combined refinement were 10.1% and 1.81, respectively. The calcium ions are located preferentially in site I and site II, and distortions of the zeolite framework are ascribed to the interaction between these calcium ions and framework oxygen atoms. {sup 2}H NMR studies of C{sub 6}D{sub 6} adsorbed in Ca LSX (1 molecule per supercage) confirm that deuterated benzene is bound strongly at site II and interacts facially with calcium so that rapid rotation about the six-fold axis of the sorbate is observed in the temperature range 260-330 K. The activation energy for this rotation is only 4.9 kJ mol{sup -1}. By contrast, deuterated benzene in Na LSX exhibits rapid isotropic motion down to 260 K; the diffusion coefficient and activation energy for this system are calculated to be D{sub 298} = 1.9 x 10{sup -11} m{sup 2} s{sup -1} and E{sub a} = 10.6more » kJ mol{sup -1}, respectively, from {sup 2}H NMR spin-lattice relaxation measurements. 23 refs., 6 figs., 6 tabs. « less
The Seasonal and Regional Transition to an Ice‐Free Arctic

The Arctic sea ice cover is currently retreating and will continue its retreat in a warming world. However, the loss of sea ice is neither regionally nor seasonally uniform. Here, we present the first regional and seasonal assessment of future Arctic sea ice loss in CMIP6 models under low (SSP126) and high (SSP585) emission scenarios, thus spanning the range of future change. We find that Arctic sea ice loss—at present predominantly limited to the summer season—will under SSP585 take place in all regions and all months. The summer sea ice is lost in all the shelf seas regardless of emission scenario, whereas ice‐free conditions in winter before the end of this century only occur in the Barents Sea. The seasonal transition to ice‐free conditions is found to spread through the Atlantic and Pacific regions, with change starting in the Barents Sea and Chukchi Sea, respectively.
Self-reported playing time and justice as predictors of coach satisfaction: An analysis of elite ice-hockey and handball players

Abstract Intrateam competition for specific roles and playing time is a continuous imperative process in elite sport teams. The assessment of this competition is done by the coach and the outcome of this process has a significant impact on the team and the players. The following hypothesis was put forward for testing: Self-reported playing time and perceptions of justice among elite ice-hockey and handball players predict their satisfaction with the coach. Elite ice-hockey and handball players (N = 231) reported playing time and completed the Perceived Justice and Athlete Satisfaction Questionnaires. Hierarchical multiple regression analyses show that self-reported playing time, distributive justice, and procedural justice explains 41% to 45% of the variance in the dependent variable of satisfaction with a coach, thereby confirming the hypothesis. Self-reported playing time does not explain as much as the justice variables. The results complement earlier research showing that training and instructions as well as positive feedback were strong determinants of satisfaction with leadership. In an elite team setting perceived justice emerges as an important predictor coach satisfaction and the management of intrateam positional competition is therefore an important leadership task to consider. Moreover, coaches allocating limited resources among players should reflect on the justice criteria these decisions are based on if satisfaction with the coach is at stake.
Management Intensity and Forest Successional Stages as Significant Determinants of Small Mammal Communities in a Lowland Floodplain Forest

The conversion of forests from complex natural ecosystems to simplified commercial woodlands is one of the major causes of biodiversity loss. To maintain biodiversity, we need to understand how current management practices influence forest ecosystems. We studied the effects of forest successional stage and management intensity on the abundance, species richness, and assemblage composition of small mammals. Our results show that management intensity significantly contributes to reducing the number of species after clearcutting. We revealed that intensively managed clearings can make the dispersal or foraging activity of small mammals difficult and hence negatively influence their abundance and species richness. The significantly higher species richness of small mammal species was recorded within more extensively rather than intensively managed clearings. In contrast, we did not observe significant changes in species richness and abundance after intensive management in old-growth forests. Species Clethrionomys glareolus and Apodemus flavicollis reached the greatest abundance in old-growth forest patches. On the other hand, Microtus arvalis and Microtus subterraneus were species mainly associated with the successionally youngest forest stands. Our analysis suggests that intensive management interventions (i.e., vegetation destruction by pesticides and wood debris removal by soil milling) in clearings produce unhostile environments for majority of the small mammal species.
Analysis of Blokchain Technology Recommendations to be Applied to Medical Record Data Storage Applications in Indonesia

: Personal Health Record or we know as the medical record in Indonesia has its regulations relating to ownership, confidentiality and authorization from the authorities to provide medical record entries to their ownership. Not many health facilities in Indonesia that digitize medical record data storage and there are still many health facilities that use third parties to manage medical record data. This raises problems such as data access, data exchange, privacy, security and approval among the people involved in it. In this case, the doctor is authorized to provide the patient’s medical record, according to the examination results that have been carried out by the patient. Blockchain technology or distributed ledger technology seems to offer a solution to some of the problems encountered. Blockchain is a digital ledger of verified transactions that are locked chronologically in an encrypted chain. This platform uses a decentralized approach that allows the information to be distributed and that each piece of distributed information or commonly known as data have shared ownership. Based on these functional needs, Blockchain technology Ethereum can be a solution. Ethereum blockchain provides smart contract features that are stateful and Turing-completeness , so that it can be used to store data and execute complex operations. This study provides an overview of how blockchain technology can be a solution to problems that arise related to the storage of patient medical record data in Indonesia. While the InterPlanetary File System (IPFS) is used to accommodate file sharing requirements.
Strengthening capacity for cancer research in conflict settings: key informant insights from the Middle East

Background Management of cancer in the Middle East and North Africa (MENA) region is accompanied by multiple challenges including heterogeneous access to early detection and treatment options and limited implementation of national cancer control plans. Furthermore, protracted armed conflicts across the region have had dramatic effects, including disruption of healthcare systems and the migration of healthcare professionals. Strengthening capacity for cancer research has been identified as a key intervention to correct data poverty, inform policy, manage limited resources and improve health outcomes. Objective The main objective of this study is to gain insights into the landscape, barriers and enablers of cancer training, research and care in the MENA region. Method We utilised purposive sampling to interview 16 key informants from a diverse academic, medical and research background originating from countries affected by conflicts, such as Lebanon, and from active conflict zones including Iraq and Syria. Results The themes that emerged from the interviews focused on the barriers to cancer care, barriers to cancer research and training, strengths and importance of cancer research and training recommendations. The detrimental effect of conflict on cancer provision and research was a cross-cutting sub-theme disrupting cancer care provision and research due to unsafe environments, fragmented facilities, absence of drugs and migration of personnel. When asked about perceived optimal training format for cancer research, most informants recommended a post-graduate, face-to-face training focusing on cancer research methods and concepts. Conclusion This study offers a unique insight into the barriers affecting cancer research and capacity-strengthening priorities from oncologists and researchers working in conflict-affected areas of the MENA region. These data will form the base for future capacity-strengthening initiatives addressing specific regional challenges.
An optimal path selection using lion optimization routing protocol for mobile ad-hoc network

MANET is a set of nodes that communicate with each other directly or indirectly. The nodes in MANET can be moved freely. The dynamic nature of the network makes several challenges. One of the challenges in routing is to transfer the data from the start node (source) to the end node (destination). Routing suffers from several metrics such as power-consuming, delay, packet delivery ratio, etc. This paper proposed a new protocol called the Lion Optimization Routing protocol (LORP) based on the lion algorithm and AODV protocol. This protocol uses the Lion Optimization Algorithm to select the optimal path. Firstly, we use lion optimization to select the optimal path using the LOA maximization algorithm depending on three main metrics Power Efficiency, Throughput, and Packet Delivery Ratio. Secondly, we use the LOA minimization algorithm to select the optimal path using two metrics Delay and Short Path. In LOA Maximization algorithm metrics calculated and choose the max path value. The result of this protocol is compared with AODV, DSR, and ANTHOCNET.
Improvement of transient response in grid‐tied photovoltaic systems using virtual inertia

Photovoltaic (PV) generation systems, unlike conventional generators, do not possess any inherent inertia. The problem is further amplified by the fact that they are non ‐ dispatchable and highly intermittent by nature. Furthermore, the rate at which PV power output changes is of a much shorter timescale than that of conventional generators. Thus, integrating them in large quantities to the power grid without appropriate measures will compromise the power grid stability. One of the feasible solutions is to implement the concept of virtual inertia to PV systems, by adding energy storage systems (ESS) such as batteries in parallel with PV systems. In this paper, the ESS will be controlled to regulate the ramp rate (RR) of the PV power output to the grid, which smoothens the overall generation power profile. By modelling the grid, PV, ESS and load individually in the s ‐ domain and using an equivalent overall two ‐ machine, two ‐ area model, the impact of implementing virtual inertia is demonstrated. The results highlight the effectiveness in using ESS to control the RR and improving the transient responses of the overall grid system. Moreover, the economic impact and feasibility of ESS are also analysed using a residential PV and load profile from Singapore.
A Comparative Study of Data Collection Routing Protocols for Water Meter Reading Devices Network

: This paper presents a comparative study of data collection routing protocols for the network of water meter reading devices. Water meters added with smart reading devices that could read the amount of water consumption and send it to the server via radio. Smart reading devices use a limited battery power source, therefore, it is necessary to employ energy-efficient data collection routing protocols to the network of water meter reading devices to increase network lifetime. CTP and RPL are two data collection protocols, which focused on research and evaluation in this paper. Simulation results in different channel quality conditions show that the RPL protocol achieves better energy efficiency than the CTP-0 and CTP-31 protocols. Although the successful data delivery ratio of RPL protocol is lower than that of CTP-31 protocol, data collected periodically in the network, so the loss of several data packets is acceptable.
Effect of Trichoderma harzianum and Pseudomonas fluorescens on the Enhancement of Drought Tolerance and Plant Growth in Tomato

In the present study, different isolates of Trichoderma harzianum and Pseudomonas fluorescens were evaluated for the induction ofdrought tolerance and growth promotion in tomato plants. Four isolates of Pseudomonas fluorescens viz Pf 2 Pf 4, Pf 6 and Pf 28 and three isolates of Trichoderma harzianum viz. TH 08, IRRI 1 and TH 26 were evaluated by using seed biopriming as well as seedling/transplanted root dip method against drought stress and for their effect onplant growth promotion. Parametersincludingdrought tolerance capacity, water requirement, shoot length, root length, plant height, and chlorophyll content were recorded inall the treatments of different isolates along with the untreated control.Among the two methods of bioinoculation, seed biopriming was found more effective to transplanted root dip in all the treatments of isolates of Trichoderma harzianum and Pseudomonas fluorescens. Among all the isolates, isolate IRRI 1 of Trichoderma harzianum was found highly effective in reducing the water stressbyincreasing thecumulative mean water stresstolerance duration of both methods of inoculation up to 14.83 days after the last Original Research Article Anbazhagan et al.; IRJPAC, 21(23): 18-27, 2020; Article no.IRJPAC. 63107 19 irrigation with least mean water requirement of 13.92litres followed by isolate Pf28 of Pseudomonas fluorescens with mean water stress tolerance of 13.66 days and water requirement of 14.25 litres compared to the untreated control plants with least tolerance ofonly 10.66 days and highest water requirement of 16.25litres. Maximum cumulative mean shoot growth, root growth and chlorophyll content ofboth methods of inoculation of 76.25cm, 28.33cm and 41.20 SPAD units respectively were also recorded with IRRI 1 isolate followed by Pf 28 isolate with 67.17cm, 19cm, and 35.46 SPAD units respectively. Treatment with all other isolates of Trichoderma harzianum and Pseudomonas fluorescens also showed better water stress tolerance, less water consumption, increased shoot length, root length and chlorophyll content compared to the untreated control tomato plants.
How Ideas from Ecological Capture-Recapture Models May Inform Multiple Systems Estimation Analyses

Abundance estimation, for both human and animal populations, informs policy decisions and population management. Capture-recapture and multiple sources data share a common structure; the population can be partially enumerated and individuals are identifiable. Consequently, the analytical methods were developed simultaneously. However, whilst ecological models have been developed to describe highly complex, biologically realistic scenarios, for example modeling population changes through time and combining different forms of data, multiple systems estimation has changed comparatively less so. In this paper we provide a brief description of the historical development of ecological and epidemiological capture-recapture and discuss the associated underlying differences that have led to model divergence. We identify three key areas where ecological modeling methods may inform and improve multiple systems estimation.
Feature fusion quality assessment model for DASH video streaming

Dynamic Adaptive Streaming over HTTP (DASH) employs the ﬂexible rate adaptation scheme to combat with time-varying channel conditions. In addition to compression impairment, DASH video streaming suffers from transmission impairment, such as rate switches and stalling events. Both of them severely degrade users’ Quality of Experience (QoE). Herein, an assessment model is established for DASH video streaming by directly jointing multiple QoE inﬂuential factors, which quantify impairments resulting from the compression and transmission. To demonstrate the inﬂuence of video content characteristics on users’ QoE, spatio-temporal content perceptual features are employed to represent the compression impairment. When reﬂecting temporal characteristics, a novel motion vector padding method is proposed to quantify the inﬂuence of intra macroblock on the human visual system. The proposed model is evaluated on a newly public Waterloo SQoE-III database, which is available for DASH video streaming. Experimental results demonstrate that the authors’ model outperforms the comparative models and owns the strong generalization ability to different video contents. Moreover, the proposed model is statistically superior to the existing models.