Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effects of Apologies for Service Failures in the Global Online Retail

ABSTRACT Virtually all sources on service recovery stress the importance of offering an apology to complaining customers. To date, however, our understanding of who should offer the apology and how to offer the apology is still limited. Taking a cross-cultural perspective, Study 1 shows that Eastern customers attach more value to a manager (vis-à-vis a frontline employee) offering an apology than Western customers in an offline retailing context, but not in an online retailing context. In an online setting, Study 2 further extends these insights by showing that the status of service personnel matters for Eastern customers, but only if the apology is provided publicly on social media and not if the apology is provided online privately. Global e-commerce managers can benefit from these findings when developing their service recovery strategies. By demonstrating that recovery strategies that are proposed and tested in offline settings are non transferrable to online settings, this article provides a clearer understanding of service recovery across online and offline channels. Based on face theory, this research highlights the public versus private nature of an apology in a global online retailing context, thus contributing to the emerging research in online service recovery.
Correlational study between discontinuation of the fourth-generation cephalosporin and the dosage of broad-spectrum antibacterial agents as well as resistance rates of pseudomonas aeruginosa against antimicrobials

Objective: To retrospectively investigate the correlation between the discontinuation of the fourth-generation cephalosporin and the dosage of other broad-spectrum antibacterial agents as well as resistance rate of Pseudomonas aeruginosa. Methods: Data on in vitro susceptibilities detected by disk diffusion test, the dosage of various antimicrobial agents which was expressed as defined daily dose (DDD) per 100 patients-days, and the discontinuation of the fourth-generation cephalosporin were collected during 2009 to 2015. The relationship between the use of fourth-generation cephalosporin and the dosage of other broad-spectrum antibacterials as well as the resistance rate of Pseudomonas aeruginosa against broad-spectrum antibacterials were evaluated by the parametric Pearson’s or nonparametric Spearman’s correlation coefficient. Results: There was a significant negative correlation between the dosage of the fourth-generation cephalosporin and the dosage of piperacillin-tazobactam (P = 0.015), and a significant positive correlation between the antibiotic use density (AUD) of the fourth-generation cephalosporin and the resistance rates of Pseudomonas aeruginosa against cefepime (P = 0.000). Meanwhile, there was also a significant positive correlation between resistance rate of Pseudomonas aeruginosa against levofloxacin and AUD of the fourth-generation cephalosporin (P = 0.001). Conclusion: In those hospitals or regions where Pseudomonas aeruginosa has high resistance rate against cefepime, application of the fourth-generation cephalosporin is the pressure of appearance of multidrug-resistant Pseudomonas aeruginosa.
PREHAB study: a protocol for a prospective randomised clinical trial of exercise therapy for people living with frailty having cancer surgery

Introduction Exercise prehabilitation may improve outcomes after surgery. Frailty is a key predictor of adverse postoperative outcomes in older people; the multidimensional nature of frailty makes this a population who may derive substantial benefit from exercise prehabilitation. The objective of this trial is to test the efficacy of exercise prehabilitation to improve postoperative functional outcomes for people living with frailty having cancer surgery with curative intent. Methods and analysis We will conduct a single-centre, parallel-arm randomised controlled trial of home-based exercise prehabilitation versus standard care among consenting patients >60 years having elective cancer surgery (intra-abdominal and intrathoracic) and who are frail (Clinical Frailty Scale >4). The intervention consists of > 3 weeks of exercise prehabilitation (strength, aerobic and stretching). The primary outcome is the 6 min walk test at the first postoperative clinic visit. Secondary outcomes include the short physical performance battery, health-related quality of life, disability-free survival, complications and health resource utilisation. The primary outcome will be analysed by intention to treat using analysis of covariance. Outcomes up to 1 year after surgery will be ascertained through linkage to administrative data. Ethics and dissemination Ethical approval has been granted by our ethics review board (Protocol Approval #2016009–01H). Results will be disseminated through presentation at scientific conferences, through peer-reviewed publication, stakeholder organisations and engagement of social and traditional media. Trial registration number NCT02934230; Pre-results.
SpainUDP: The Spanish Undiagnosed Rare Diseases Program

One of the IRDiRC goals for 2017–2027 is to achieve definitive diagnosis for rare undiagnosed diseases within one year, as delay in diagnosis remains one of the pending issues in the rare diseases field. The Spanish Undiagnosed Rare Diseases Program (SpainUDP) was created in response to this challenging scenario to cover patients’ needs and after seeing the success of the Undiagnosed Diseases Program (UDP) in the USA. SpainUDP offers a multidisciplinary approach to those patients who have long sought a diagnosis without any success. During the first phase of the protocol, undiagnosed cases are sent to SpainUDP by individual patients or families, patient organizations or hospitals. After careful analysis of phenotype, data from sequencing experiments (WES) is processed with a standard pipeline and detailed standardized phenotypic information (mapped to the Human Phenotype Ontology, HPO) is connected to genetic data. In addition, the participation of SpainUDP in international initiatives such as the European projects RD-Connect and Solve RD, the Undiagnosed Diseases Network International (UDNI), and the MatchMaker Exchange (MME) platform, allows the establishment of a global data sharing strategy across multiple projects submitting data to these international initiatives. From the official beginning of the program (at the end of 2015) until early 2018, 147 cases were accepted in SpainUDP. During this time, 37 cases (25%) dropped out the program due to several reasons. The remaining 110 cases are distributed as follows: phenotypic and genotypic (WES) characterization was finished in 30 cases, of which 20 (67%) were diagnosed; 21 cases are pending on variants’ validation by Sanger sequencing; in 25 cases, WES is ongoing and 34 cases are being studied for deep phenotypic characterization. In conclusion, SpainUDP aims to achieve a diagnosis following two recommendations of the IRDiRC: the patients’ diagnosis in as short a time as possible and the promotion of data sharing (especially genomic) at the international level.
Spread of dystonia in patients with idiopathic adult‐onset laryngeal dystonia

Adult‐onset laryngeal dystonia (LD) can be isolated or can be associated with dystonia in other body parts. Combined forms can be segmental at the onset or can result from dystonia spread to or from the larynx. The aim of this study was to identify the main clinical and demographic features of adult‐onset idiopathic LD in an Italian population with special focus on dystonia spread.
Internet Versus Virtual Reality Settings for Genomics Information Provision

Current models of genomic information provision will be unable to handle large-scale clinical integration of genomic information, as may occur in primary care settings. Therefore, adoption of digital tools for genetic and genomic information provision is anticipated, primarily using Internet-based, distributed approaches. The emerging consumer communication platform of virtual reality (VR) is another potential intermediate approach between face-to-face and distributed Internet platforms to engage in genomics education and information provision. This exploratory study assessed whether provision of genomics information about body weight in a simulated, VR-based consultation (relative to a distributed, Internet platform) would be associated with differences in health behavior-related attitudes and beliefs, and interpersonal reactions to the avatar-physician. We also assessed whether outcomes differed depending upon whether genomic versus lifestyle-oriented information was conveyed. There were significant differences between communication platforms for all health behavior-oriented outcomes. Following communication in the VR setting, participants reported greater self-efficacy, dietary behavioral intentions, and exercise behavioral intentions than in the Internet-based setting. There were no differences in trust of the physician by setting, and no interaction between setting effects and the content of the information. This study was a first attempt to examine the potential capabilities of a VR-based communication setting for conveying genomic content in the context of weight management. There may be benefits to use of VR settings for communication about genomics, as well as more traditional health information, when it comes to influencing the attitudes and beliefs that underlie healthy lifestyle behaviors.
A New Approach in Failure Modes and Effects Analysis Based on Compromise Solution by Considering Objective and Subjective Weights with Interval-Valued Intuitionistic Fuzzy Sets

Failure modes and effects analysis (FMEA) is a well-known risk analysis approach that has been conducted to distinguish, analyze and mitigate serious failure modes. It demonstrates the effectiveness and the ability of understanding and documenting in a clear manner; however, the FMEA has weak points and it has been criticized by some authors. For example, it does not consider relative importance among three risk factors (i.e., $ O, S $ and $ D $). Different sequences of $ O $, $ S $ and $ D $ may result in exactly the same value of risk priority number (RPN), but their semantic risk implications may be totally different and these three risk factors are difficult to be precisely expressed. This study introduces a new interval-valued intuitionistic fuzzy (IVIF)-decision approach based on compromise solution concept that defeats the above weak points and improves the traditional FMEA's results. This study firstly employs both subjective and objective weights in the decision process simultaneously. Secondly, there are two kinds of subjective weights performed in the study: aggregated weights obtained by experts' assessments as well as entropy measure. Thirdly, this approach is defined under an IVIF-environment to ensure that the evaluation information would be preserved, and the uncertainties could be handled during the computations. Hence, it considers uncertainty in experts' judgments as well as reduces the probability of obtaining two ranking orders with the same value. Finally, the alternatives are ranked with a new collective index according to the compromise solution concept. To show the effectiveness of the proposed approach, two practical examples are solved from the recent literature in engineering applications. The proposed decision approach has an acceptable performance. Also, its advantages have been mentioned in comparison with other decision approaches.
Determining sample size for cross-over designs with multiple groups

In clinical research, determining sample size plays an important role. A cross-over design (CD) is widely used to compare multiple groups in order to verify the statistical significance of mean difference among multiple groups, because it has an advantage of removing any factors caused by subject variability. When multi-omics data such as metabolomics data is analysed, we often adopt CD to identify biomarkers that have group effects. While some methods exist for determining the sample size when comparing two groups, no available method allows comparison of more than two treatment groups. In this research, we propose a novel method for determining the sample size of CD with multiple treatment groups. We first propose a method for testing single biomarkers and then a method for a large number of biomarkers while controlling the false discovery rate or the family wise error rate.
Comparing Environmental Impacts of Additive Manufacturing vs. Traditional Machining via Life-Cycle Assessment

Purpose – The purpose of this study is to compare the environmental impacts of two additive manufacturing machines to a traditional computer numerical control (CNC) milling machine to determine which method is the most sustainable. Design/methodology/approach – A life-cycle assessment (LCA) was performed, comparing a Haas VF0 CNC mill to two methods of additive manufacturing: a Dimension 1200BST FDM and an Objet Connex 350 “inkjet”/“polyjet”. The LCA’s functional unit was the manufacturing of two specific parts in acrylonitrile butadiene styrene (ABS) plastic or similar polymer, as required by the machines. The scope was cradle to grave, including embodied impacts, transportation, energy used during manufacturing, energy used while idling and in standby, material used in final parts, waste material generated, cutting fluid for CNC, and disposal. Several scenarios were considered, all scored using the ReCiPe Endpoint H and IMPACT 2002+ methodologies. Findings – Results showed that the sustainability of add.
Multi-criteria Decision-making Approach based on Multi-valued Neutrosophic Geometric Weighted Choquet Integral Heronian Mean Operator

Multi-valued neutrosophic sets (MVNSs) have recently become a subject of great interest for researchers, and have been applied widely to multi-criteria decision-making (MCDM) problems. In this paper, the multi-valued neutrosophic geometric weighted Choquet integral Heronian mean (MVNGWCIHM) operator, which is based on the Heronian mean and Choquet integral, is proposed, and some special cases and the corresponding properties of the operator are discussed.
Understanding EHRs continuance intention to use from the perspectives of UTAUT: practice environment moderating effect and top management support as predictor variables

This study attempts to comprehend factors influencing nurses' continuance intention to use electronic health records (EHR) system in Jordan since they as the key service providers in healthcare services are main users of the system. Their acceptance and usage of the system are imperative to evaluate the system's implementation success. A cross-sectional survey is conducted on the fully implemented EHR system public hospitals. Study framework is based on the extended model of the unified theory of acceptance and use of technology (UTAUT) and top management support (TMS). Results reveal effort expectancy, performance expectancy and facilitating conditions positively influence nurses' continuance intention to use and top management support as significant and negatively related to nurses' continuance intention to use. Results also disclose relationship between social influence and continuance intention to use as not significant. Multi-group analysis result indicates stronger relationship between effort expectancy and continuance intention to use is evident to ward nurses than special unit nurses. Findings confirm on the necessity to support new technologies specifically EHR system in hospitals and contributes to UTAUT theory through revealing the impact of top management support on continuance intention to use and establishing relevant measurement accuracy of study framework in Jordanian context.
Enrichment in critical metals (In-Ge) and Te-Se in epithermal deposits of the ‘La Carolina’ district, San Luis, Argentina

ABSTRACT Epithermal Au-Ag deposits of the La Carolina district, in the San Luis metallogenetic belt (Argentina), are related spatially and genetically to Mio-Pliocene volcanism. In this district, mineralization in the Cerro Mogote and Puesto La Estancia prospects occur as disseminations, veins and fracture/cavity infillings in volcanic/pyroclastic rocks, metamorphic basement and hydrothermal breccias. The gangue assemblage is dominated by carbonates (siderite, rhodochrosite, kutnahorite, dolomite). The main sulfides are pyrite, sphalerite, galena and chalcopyrite. Pyrite and sphalerite have compositional zoning, the former with As-rich cores and Cu-rich overgrowths, the latter with Fe-rich and Fe-poor bands. Sphalerite shows variable contents of Mn, Cu, In, Ga, Ge and Ag. The In-richest sphalerite hosts up to 5940 ppm In but also contains elevated concentrations of Cu, Ag, Ga and Ge, suggesting a coupled substitution mechanism resulting in enrichments in monovalent (Ag+, Cu+) and trivalent-tetravalent cations (Ga3+, In3+, Ge4+). The main precious metal minerals are Ag-rich tetrahedrite, acanthite, argyrodite, pearceite–polybasite and Au-Ag alloy. Locally, Se and/or Te-enriched minerals include galena Pb(S0.9–1Se0.1–0), hessite Ag2(Te0.9–1Se0.1–0), Se-rich cervelleite Ag4(Te1.3–0.9S1–0.5 Se0.5–0.2), and also alburnite [Ag8GeTe2S4] and benleonardite [Ag15Cu(As,Sb)2S7Te4]. Pearceite contains Te (3.6–4.3 wt.%) and Se (1–2.3 wt.%) substituting for S, which are unusually high concentrations for this mineral. The Puesto La Estancia deposit contains various tellurides including sylvanite, petzite, stutzite, altaite, tellurobismuthite and volynskite. This study shows that the chemistry of the fluids fluctuated during ore deposition suggesting different fluid pulses (system rejuvenation and/or boiling). The enrichment in Te, Se and Bi enrichment is supportive of a magmatic contribution to the ore fluid, while graphite in the metamorphic basement could be the source of germanium, although a magmatic source cannot be ruled out.
Impact of Vegetative Treatment Systems on Multiple Measures of Antibiotic Resistance in Agricultural Wastewater

Wastewater is an important vector of antibiotic resistant bacteria and antibiotic resistance genes (ARB/G). While there is broad agreement that ARB/G from agricultural (ag) wastewaters can be transported through the environment and may contribute to untreatable infectious disease in humans and animals, there remain large knowledge gaps surrounding applied details on the types and amounts of ARB/G associated with different agricultural wastewater treatment options and different ag production systems. This study evaluates a vegetative treatment system (VTS) built to treat the wastewater from a beef cattle feedlot. Samples were collected for three years, and plated on multiple media types to enumerate tetracycline and cefotaxime-resistant bacteria. Enterobacteriaceae isolates (n = 822) were characterized for carriage of tetracycline resistance genes, and E. coli isolates (n = 673) were phenotyped to determine multi-drug resistance (MDR) profiles. Tetracycline resistance in feedlot runoff wastewater was 2-to-3 orders of magnitude higher compared to rainfall runoff from the VTS fields, indicating efficacy of the VTA for reducing ARB over time following wastewater application. Clear differences in MDR profiles were observed based on the specific media on which a sample was plated. This result highlights the importance of method, especially in the context of isolate-based surveillance and monitoring of ARB in agricultural wastewaters.
DIGESTIVE ENZYMES IN AFRICAN GIANT LAND SNAIL (ARCHACHATINA MARGINATA) DURING AESTIVATION

The activities of digestive enzymes in the gut regions of African giant land snail, Archachatina marginata were investigated during aestivation induced in the laboratory by the withdrawal of water and food for three weeks. All studied enzymes, amylase, a-glucosidase, cellulase, lipase, and protease, were detected on the gut regions (oesophagus, crop, stomach and intestine). Aestivated snails had significantly lower enzyme activities in all the gut regions than the active snails. Furthermore the stomach recorded the highest enzyme activities of all the gut regions.
ROBUST KULLBACK-LEIBLER DIVERGENCE AND ITS APPLICATIONS IN UNIVERSAL HYPOTHESIS TESTING AND DEVIATION DETECTION

The Kullback-Leibler (KL) divergence is one of the most fundamental metrics in information theory and statistics and provides various operational interpretations in the context of mathematical communication theory and statistical hypothesis testing. The KL divergence for discrete distributions has the desired continuity property which leads to some fundamental results in universal hypothesis testing. With continuous observations, however, the KL divergence is only lower semi-continuous; di culties arise when tackling universal hypothesis testing with continuous observations due to the lack of continuity in KL divergence. This dissertation proposes a robust version of the KL divergence for continuous alphabets. Speci cally, the KL divergence de ned from a distribution to the Lévy ball centered at the other distribution is found to be continuous. This robust version of the KL divergence allows one to generalize the result in universal hypothesis testing for discrete alphabets to that for continuous observations. The optimal decision rule is developed whose robust property is provably established for universal hypothesis testing. Another application of the robust KL divergence is in deviation detection: the problem of detecting deviation from a nominal distribution using a sequence of independent and identically distributed observations. An asymptotically δ-optimal detector is then developed for deviation detection where the Lévy metric becomes a very natural distance measure for deviation from the nominal distribution. Lastly, the dissertation considers the following variation of a distributed detection
Association between diffuse lymphocytic infiltration and papillary thyroid cancer aggressiveness according to the presence of thyroid peroxidase antibody and BRAFV600E mutation

Diffuse lymphocytic infiltration (DLI) is frequently found with papillary thyroid cancer (PTC), so there has been long interest in how it affects the characteristics of PTC. This purpose of this study was to define the association between DLI and PTC aggressiveness according to thyroperoxidase antibody (TPOAb) and B‐type Raf (BRAF)V600E mutation positivity.
Experimental Investigation of the Time Course Effects of Acute Exercise on False Episodic Memory

Previous experimental work suggests that acute exercise may positively influence the accurate recall of past episodic events. However, few studies have examined whether acute exercise also reduces the number of false episodic memories. We evaluated this paradigm in conjunction with an examination of the temporal effects of acute exercise, which have previously been shown to play an important role in subserving episodic memory function. Twenty young adults participated in three experimental visits, including a non-exercise control visit, a visit involving an acute bout (20 min) of moderate-intensity exercise occurring prior to the memory task, and a visit involving an acute bout of exercise occurring during the encoding of the memory task. All visits were counterbalanced and occurred at least 24 h apart. The Deese–Roediger–McDermott (DRM) Paradigm, involving a separate word list trial for each visit, was employed to assess accurate and false episodic memory recall. For each visit, a short-term (immediate recall) and a long-term (25-min delay) memory recall was assessed. For both time points, the visit that involved exercise prior to encoding resulted in better short-term and long-term memory function (F(2) = 11.56, p < 0.001, η2p = 0.38). For both time points, the control visit resulted in a greater number of false memories. These findings suggest that acute moderate-intensity exercise may help to increase the accurate recall of past episodic memories and may help to reduce the rate of false memories.