Miracle-dz/UniFAR-FTUs huggingface dataset:
Expatriates' salary expectations, age, experience and country image

PurposeThe purpose of this paper is to explain how candidates' expectations of salary in relation to job offers as expatriates in developing societies are related to country image and to age.Design/methodology/approachData were collected from over 500 engineers living in France, Portugal and Spain, evaluating two hypothetical expatriate proposals to six different African and Latin American countries. Multivariate hierarchical regression was applied to statistically detect significant predictors, with a broad range of control variables, to investigate expatriate salary expectations.FindingsResults evidence the role of age, seniority, previous international experience and culture attraction for the host country in influencing salary expectations for potential expatriate postings. These results are discussed at the light of selection, optimisation and compensation theory (SOC), conservation of resources theory (COR) and social identity theory.Practical implicationsFindings call for multinational companies to consider age, individual background, career attributes and location concerns when evaluating salary expectations involved in expatriation to developing countries.Originality/valueThe study shows how individual expectations about required salaries for accepting expatriate job offers in developing countries (hardly addressed in the extant literature) result from the potential for professional development opportunities and the responsibility of the jobs being offered, the country image, and the age and motivation of the individuals. Furthermore, it integrates research through use of SOC and COR theories.
The Antarctic sea ice cover from ICESat-2 and CryoSat-2: freeboard, snow
depth and ice thickness

Abstract. We offer a view of the Antarctic sea ice cover from lidar (ICESat-2) and radar (CryoSat-2) altimetry, with retrievals of freeboards, snow depth, and ice volume that span an 8-month winter between April 2019 and November 2019. Snow depths are from freeboard differences. The multiyear ice in the West Weddell sector stands out with a mean sector thickness > 2 m. Thinnest ice is found near polynyas (Ross Sea and Ronne) where new ice areas are exported seaward and entrained in the surrounding ice cover. For all months, the results suggest that ~ 60–70 % of the total freeboard is comprised of snow. The remarkable response of the ice cover to mechanical convergence in the coastal Amundsen Sea, associated with onshore winds, was captured in the correlated increase in local freeboards and thickness. While the spatial patterns in the freeboard, snow depth, and thickness composites are as expected, the observed seasonality in these variables is surprisingly weak likely attributable to competing processes (snowfall, snow redistribution, snow-ice formation, ice deformation, basal growth/melt) that contribute to uncorrelated changes in the total and radar freeboards. Broadly, evidence points to biases in CryoSat-2 freeboards of at least a few centimeters from high salinity snow (> 10 psu) in the basal layer resulting in lower/higher snow depth/ice thickness retrievals although the extent of these areas cannot be established in the current data set. Adjusting CryoSat-2 freeboards by 3/6 cm gives a circumpolar ice volume of 14,700/12,400 km3 in October, for an average thickness of ~ 1.09/0.93 m. Validation of Antarctic sea ice parameters remains a challenge, there are no seasonally and regionally diverse data sets that could be used to assess these large-scale satellite retrievals.
Women's Rights in Pakistan

The critically discusses the women’s rights in Pakistan. For this purpose, it explores the Patriarchal nature of the society and the historical background of women’s rights in Pakistan. Before it does so, the paper also throws light on the status of women in Islam and enumerates the important rights the woman holds in Islamic law because of Islam’s great influence in the state of Pakistan.
Scale-dependence in geographic variation in a freshwater gastropod across the Palearctic

ABSTRACT The reality of spatial clinal variation in morphological traits of freshwater pulmonate snails (Gastropoda: Pulmonata) has repeatedly been questioned or totally discounted. There is a lack of sound statistical evidence in the articles hitherto published on this subject supporting these claims. Here, by means of different analytical methods (analysis of spatial autocorrelation, linear regression analysis, canonical correlation analysis and others), we demonstrate that shell variation in the dwarf pond snail, Galba truncatula, is patterned in space throughout the northern and central Palearctic, with latitudinally-oriented clines in body size and in some shell proportions. Shell size in G. truncatula decreases with latitude and temperature, representing a special case of converse Bergmann cline. However, the temperature itself is hardly the main driver of shell size variation. It is argued that the shorter growing seasons at high latitudes may represent a better explanation for the observed trend. Shell proportions in the dwarf pond snails vary weakly at the macrogeographic scale, being spatially patterned at lower (mesogeographic) scales around 1200–1500 km. In general, spatial variation in G. truncatula shell size is decoupled from variation in shell shape, demonstrating clear scale-dependence similar to that found in different species of terrestrial (non-aquatic) pulmonate snails.
Mining Educational Data to Analyze Students’ Performance: A Case Study of Mawuli School, Ho

Data mining is the extraction of prospective valuable information from large chunk of data through the employment of many different data mining techniques. The usefulness of data mining coupled with the huge data generated in scholastic settings has made it an interesting field of research known as Educational Data Mining (EDM). The intent of EDM is to derive understanding from hidden patterns in data collected from institutions of learning to aid in identifying issues that influence students’ scholastic accomplishment, to solution of which will lead to improvement in accomplishment. Because scholastic achievement is dependent on several issues, it is essential to develop predictive models on students’ academic performance. This study’s objective, therefore, is to acquire an insight into performance through knowledge discovery by the use of simple linear regression in order to build a predictive model capable of predicting students’ grades to give a general overview of students’ performance in the WASSCE, and help improve students’ performance. In accomplishing the set objective for which the study was carried out, that is to predict the possible outcome of students in WASSCE, a widely sampled study was applied in undertaking the study (Quantitative research).
Surgical Outcomes of Endoscopic Endonasal Surgery in 29 Patients with Craniopharyngioma

Abstract Background Recently the endoscopic endonasal surgery (EES) has been introduced as a modality for the treatment of patients with craniopharyngiomas. In this study, we describe our initial experience in treatment of 29 patients with craniopharyngiomas using this approach. Methods Twenty-nine consecutive patients with craniopharyngiomas who had undergone EES in a 5-year period were studied retrospectively. Patients underwent preoperative and postoperative endocrinologic and ophthalmologic evaluations. Radiologic characteristics of tumors and extent of resection were determined. The recurrence and complications were evaluated. Results Pituitary and visual dysfunction were observed preoperatively in 89.7 and 86% of patients, respectively. After EES, visual outcome either showed an improvement or else remained unchanged in 92.3% of the cases; however, pituitary function remained unchanged and even got worsened in 34.6% of the cases. Prevalence of diabetes insipidus before and after surgery was 58.6 and 69.2%. The rate of gross total resection was 62%. Moreover, 86.2% of the tumors were almost totally resected (more than 95% of the tumor size resected). After surgery, cerebrospinal fluid (CSF) leak and meningitis occurred in four (13.8%) and two (6.9%) patients, respectively. Perioperative mortality was seen in two of the cases (6.9%). The mean follow-up was 25 months and tumor recurrence was discovered in four patients (15.3%). Conclusion The EES with the goal of maximal and safe tumor resection could be used for the treatment of most craniopharyngiomas. Although the rates of visual improvement and gross tumor resection are high, CSF leak, pituitary dysfunction, and meningitis are serious concerns.
Pleistocene climate changes explain large-scale genetic variation in a dominant grassland species, Lolium perenne L

Aim Grasslands have been pivotal in the development of herbivore breeding since the Neolithic and are still nowadays the most widespread agricultural land-use across Europe. However, it remains unclear whether the current large-scale genetic variation of plant species found in natural grasslands of Europe is the result of human activities or natural processes. Location Europe. Taxon Lolium perenne L (perennial ryegrass). Methods We reconstructed the phylogeographic history of L. perenne, a dominant grassland species, using 481 natural populations including 11 populations from closely related taxa. We combined the Genotyping-by-Sequencing (GBS) and Pool-sequencing (Pool-seq) methods to obtain high-quality allele frequency calls of ~ 500 k SNP loci. We performed genetic structure analyses and demographic reconstructions based on the site frequency spectrum (SFS). We additionally used the same genotyping protocol to assess the genomic diversity of a set of 32 cultivars representative of the L. perenne cultivars widely used for forage purposes. Results Expansion across Europe took place during the Würm glaciation (12-110 kya), a cooling period that decreased the dominance of trees in favour of grasses. Splits and admixtures in L. perenne fit historical sea level changes in the Mediterranean basin. The development of agriculture in Europe (7-3.5 kya), that caused an increase in the abundance of grasslands, did not have an effect on the demographic patterns of L. perenne. We found little differentiation between modern cultivars and certain natural variants. However, modern cultivars do not represent the wide genetic variation found in natural populations. Main conclusions Demographic events in L. perenne can be explained by the changing climatic conditions during the Pleistocene. Natural populations maintain a wide genomic variability at continental scale that has been underused by recent breeding activities. This variability constitutes valuable standing genetic variation for future adaptation of grasslands to climate change, safeguarding the agricultural services they provide.
Syntax-based Transformer for Neural Machine Translation

The Transformer (Vaswani, Shazeer, Parmar, Uszkoreit, Jones, Gomez, Kaiser, and Polosukhin 2017), which purely depends on attention mechanism, has achieved stateof-the-art performance on machine translation (MT). However, syntactic information, which has improved many previous MT models, has not been utilized explicitly by Transformer. We propose a syntax-based Transformer for MT, which incorporates source-side syntax structures generated by the parser into the self-attention and positional encoding of the encoder. Our method is general in that it is applicable to both constituent trees and packed forests. Evaluations on two language pairs show that our syntax-based Transformer outperforms the conventional (non-syntactic) Transformer. The improvements of BLEUs on English-Japanese, English-Chinese and English-German translation tasks are up to 2.32, 2.91 and 1.03, respectively. Furthermore, our ablation study and qualitative analysis demonstrate that the syntax-based self-attention does well in learning local structural information, while the syntax-based positional encoding does well in learning global structural information.
Diffusion Timescales of Magmatic Processes in the Moinui Lava Eruption at Mauna Loa, Hawai`i, as Inferred from Bimodal Olivine Populations

The 2·1 ka Moinui lava flow field, erupted from the southwest rift zone of Mauna Loa, Hawai`i, exhibits striking textural and geochemical variations, that can be used to interpret magma processes pre-, syn- and post-eruption. From this lava flow, the duration of magma storage and storage conditions, the timescales over which magma is transported to the surface, and flow emplacement mechanisms at Mauna Loa are determined. Electron microprobe analysis (EMPA) and diffusion chronometry of olivine crystals identify two distinct crystal populations: a primitive, polyhedral olivine population with core compositions of Fo90–88 and a more evolved, platy olivine population with core compositions of Fo83–82. Fe–Mg diffusion modelling of these olivine populations gives distinct timescales for each population; platy olivines yield timescales of days up to a few weeks, while polyhedral olivines yield timescales of months to years. Despite the nature of a well-insulated pāhoehoe flow, meaning that post-emplacement diffusion continues for some time, a wealth of time information can be retrieved concerning pre-eruptive magmatic processes as well as the processes associated with the lava extrusion. The short timescales obtained from the platy olivine crystals and the observed equilibrium between its cores and ambient melt suggest late-stage nucleation and crystal growth in the shallow conduit and during lava emplacement. Conversely, the longer timescales and olivine-melt disequilibrium of the polyhedral olivine crystals suggests accumulation from a deeper source and subsequent transportation to shallow magma storage beneath the summit of Mauna Loa months, or even years before eruption. The chemical and textural details of the Moinui lava reflect the mode of flow emplacement and may have implications for the interpretation of the distribution of spinifex and cumulate olivine within komatiites; high-temperature, low-viscosity lavas, common in the Archean.
A Scheduling Method Based on Packet Combination to Improve End-to-End Delay in TSCH Networks with Constrained Latency

Wireless sensor networks (WSN) are networks for gathering data from sensor nodes that have been applied in industry for a long time. In real-time industrial applications with tight latencies, schedulability is one of the most critical issues. Some authors have proposed centralized scheduling algorithms for time-slotted channel hopping (TSCH) networks for real-time applications in industry, however, they have some disadvantages such as schedulability and high data traffic. In this paper, we improve the schedulability, latency, data traffic by dynamically prioritizing packets which are based on number duplex-conflicts and dynamically combining the packets. As a result, we show that the packet-combining algorithm improves schedulability and minimizes the amount of traffic in a network when compared with existing approaches.
Caladium cv. Florida sweetheart production at different planting depths and sowing dates

Ornamental bulbous crops emergence and yield can be improved by its emergence from soil. The response of Caladium to different planting depths and dates was investigated at Ornamental Horticulture Nursery, Department of Horticulture, The University of Agriculture, Peshawar during the year 2008. Randomized Complete Block Design in a split plot arrangement was used repeated three times. Sowing dates (30th March, 15th April and 30th April) were allotted to main plots whereas planting depths (2.5 cm, 5 cm, 7.5 cm and 10 cm) were kept in sub plots. Findings revealed that Caladium tubers sown on 30th March took maximum days to sprouting (33), produced maximum number of sprouts plant-1 (2.21), gained maximum tuber size (40.88 cm3) with high tuber yield (5397 kg ha-1). On the other hand, tubers sown on 30th April took less days to sprouting (20.21), produced less number of sprouts plant-1(1.53), produced small tuber (33.28 cm3) and total tuber yields was also less (4374 kg ha-1). In case of planting depth, Caladium tubers sown at a depth of 7.5cm resulted in maximum plant height (52 cm), tuber size (41.76 cm3), and tuber yield (5288 kg ha-1) while maximum number of tubers plant-1 (1.92) was observed at a depth of 10 cm. Tubers sown in 2.5 cm depth resulted in minimum tuber yield (4538 kg ha-1) and plant height (46.56 cm). To maximize vegetative as well as tubers production of Caladium cv. Florida sweet heart, it shall be sown on 30th March with 7.5cm depth.
2D-3D scene understanding for autonomous driving

In this thesis, we address the challenges of label scarcity and fusion of heterogeneous 3D point clouds and 2D images. We adopt the strategy of end-to-end race driving where a neural network is trained to directly map sensor input (camera image) to control output, which makes this strategy independent from annotations in the visual domain. We employ deep reinforcement learning where the algorithm learns from reward by interaction with a realistic simulator. We propose new training strategies and reward functions for better driving and faster convergence. However, training time is still very long which is why we focus on perception to study point cloud and image fusion in the remainder of this thesis. We propose two different methods for 2D-3D fusion. First, we project 3D LiDAR point clouds into 2D image space, resulting in sparse depth maps. We propose a novel encoder-decoder architecture to fuse dense RGB and sparse depth for the task of depth completion that enhances point cloud resolution to image level. Second, we fuse directly in 3D space to prevent information loss through projection. Therefore, we compute image features with a 2D CNN of multiple views and then lift them all to a global 3D point cloud for fusion, followed by a point-based network to predict 3D semantic labels. Building on this work, we introduce the more difficult novel task of cross-modal unsupervised domain adaptation, where one is provided with multi-modal data in a labeled source and an unlabeled target dataset. We propose to perform 2D-3D cross-modal learning via mutual mimicking between image and point cloud networks to address the source-target domain shift. We further showcase that our method is complementary to the existing uni-modal technique of pseudo-labeling.
Ensuring transparency and traceability of food local products: A blockchain application to a Smart Tourism Region

This article proposes a blockchain oriented platform to guarantee the origin and provenance of food items in a Smart Tourism Region context. Local food and beverage, in fact, can become a good combination to attract tourist and to promote the area provided that their provenance is clearly certified. We designed and developed a blockchain‐based system to manage an agri‐food supply chain for tracking food items. By using smart contracts the platform guarantees transparency, efficiency and trustworthiness. Our system is particularly suitable to manage cold chain since the system interfaces with IoT network devices providing detailed information about data monitoring food such as storage temperature, environment humidity, and GPS data. All involved actors can share data and information in a more efficient, transparent, and tamper proof way than traditional systems. The final consumer can access with transparency to all the agri‐food chain of the purchased product and verify provenance by retrieving all detailed information registered in the blockchain public ledger. The proposed system has been designed according to the ABCDE method, an agile development process recently conceived, to obtain a higher software quality to design a general blockchain system by means software engineering practices. A real case study applied to local products from Sardinia, Italy, is proposed at the end of the article.
Indirect costs of sheep depredation by large carnivores in Sweden

Carnivore depredation gives rise to direct costs for killed and injured animals as well as indirect costs due to productivity losses and additional labor requirements. Our aim was to investigate indirect costs to sheep farmers in Sweden due to carnivore depredation and presence. We estimated these costs using survey data describing conditions in 2013. Reproduction and time spent on fence maintenance and taking care of animals were analyzed to isolate effects of carnivore exposure from other factors that affect these variables. Results indicate that both high carnivore densities and attacks are associated with comparatively lower sheep reproduction. Farmers who experienced an attack spent much more on labor for maintaining fences, searching for lost animals, and bringing the animals in for the night. Results suggest that the indirect cost per adult female sheep is EUR23 for nonattacked herds in areas with high carnivore densities; EUR71 in herds that were attacked and where sheep are kept on fenced grazing land; and EUR100 on attacked summerpasture farms, where free-range grazing is applied. A flat rate compensation per adult female sheep, differentiated between herds in areas with high carnivore density that have not been attacked and herds that have been attacked could be used to compensate sheep farmers for these costs. 2019 TheWildlife Society.
Hi-C guided assemblies reveal conserved regulatory topologies on X and autosomes despite extensive genome shuffling

Genome rearrangements that occur during evolution impose major challenges on regulatory mechanisms that rely on three-dimensional genome architecture. Here, we developed a scaffolding algorithm and generated chromosome-length assemblies from Hi-C data for studying genome topology in three distantly related Drosophila species. We observe extensive genome shuffling between these species with one synteny breakpoint after approximately every six genes. A/B compartments, a set of large gene-dense topologically associating domains (TADs) and spatial contacts between high-affinity sites (HAS) located on the X chromosome are maintained over 40 million years, indicating architectural conservation at various hierarchies. Evolutionary conserved genes cluster in the vicinity of HAS, while HAS locations appear evolutionarily flexible, thus uncoupling functional requirement of dosage compensation from individual positions on the linear X chromosome. Therefore, 3D architecture is preserved even in scenarios of thousands of rearrangements highlighting its relevance for essential processes such as dosage compensation of the X chromosome.