Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation of the effects of constant darkness and light on blood serum cholesterol , insulin and glucose levels in healthy male rats

This study was designed to investigate the effects of constant darkness and light on changes of serum cholesterol, insulin and glucose levels in healthy male rats. In this study, healthy male rats (n = 30) were divided into 3 groups of tens and kept at various light/dark conditions: Control 12:12 light/dark (LD); constant darkness (DD), and constant light (LL) groups for 2 weeks. Blood samples were obtained from retro-orbital sinus before start of experiment and on the 7 th and 14 th days of the experimental period. The serum cholesterol and glucose levels were measured by the enzymatic method and insulin levels were measured using insulin kit by enzyme-linked immunosorbent assay (ELISA) method. The results of the study showed that the levels of serum cholesterol and glucose on the 7 th and 14 th days of the experimental period in DD group significantly decreased compared to the LD and LL groups (p < 0.05). On the 14 th day of experiment, we observed significant decrease of serum insulin level in the constant darkness group compared with the two other groups (p < 0.05). The study showed that on the 7 th and 14 th days of experiment, constant light significantly increased serum glucose level without having any significant effects on serum cholesterol and insulin levels. Also, the long period of time (14 days) was found to be more effective in the serum of these metabolic parameters changes than the short period (7 days).
ASSESSING DEPRESSIVE EFFECT OF KETOPROFEN AND ITS MECHANISM OF ACTION USING THE FORCED SWIMMING TEST IN MICE

The mood effect of non-steroidal anti-inflammatory drugs (NSAIDs) is a matter of debate concerning clinical and experimental data as well. This paper presents the mood effect of ketoprofen in mice during the forced swimming test. In three series of laboratory animal groups, the mobility time was significantly shorter than that in controls supporting a ketoprofen depressant effect. Administering amitriptyline and fluoxetine, but not mianserin, antagonized the depressant effect of ketoprofen. These data point out that ketoprofen when administered on longer term has an effect on mood acting only at the serotonin level (receptors or metabolism). Rezumat Efectul antiinflamatoarelor nesteroidiene (AINS) asupra dispoziţiei este controversat, atât pentru datele clinice, cât si pentru cele experimentale. Lucrarea de faţă a studiat efectul ketoprofenului asupra dispoziţiei la soareci, utilizând testul de inot forţat. In trei serii de experimente timpul de miscare a fost semnificativ mai mic faţă de martor, demonstrând efectul depresiv al acestuia. Administrarea de amitriptilina, si respectiv fluoxetină, a antagonizat efectul depresiv al ketoprofenului, dar nu si administrarea de mianserină. Aceasta demonstrează că administrarea cronică de ketoprofen are efect asupra dispoziţiei, acţionând doar la nivelul căii serotoninergice (receptori sau metabolism).
Local disorder and optical properties in V-shaped quantum wires: Toward one-dimensional exciton systems

The exciton localization is studied in GaAs/GaAlAs V-shaped quantum wires (QWR's) by high spatial resolution spectroscopy. Scanning optical imaging of different generations of samples shows that the localization length has been enhanced as the growth techniques were improved. In the best samples, excitons are delocalized in islands of length of the order of 1 μm, and form a continuum of one-dimensional states in each of them, as evidenced by the T dependence of the radiative lifetime. On the opposite, in the previous generation of QWR's, the localization length is typically 50 nm and the QWR behaves as a collection of quantum boxes. These localization properties are compared to structural properties and related to the progresses of the growth techniques. The presence of residual disorder is evidenced in the best samples and explained by the separation of electrons and holes due to the large built-in piezoelectric field present in the structure.
TESTS FOR DETECTING MORE POSITIVE AGEING PROPERTY OF LIFE DISTRIBUTIONS

Statistical theory and its applications have played a significant role in advancement of methodology and techniques for solving various problems in reliability and survival analysis Different criteria of positive ageing have been introduced for modeling and characterization of wear properties Hollander, Park and Proschan (1986) proposed a test procedure lor delecting a particular type of positive ageing that is, testing whether one distribution possesses more new belter than used property than another distribution In this paper, we consider tests lor detecting moie positive ageing property of distributions with particular attention to two positive ageing classes of distributions, namely, Increasing Failure Rate (IFR) and New Better than Used (NBU) distributions The distributional properties of the classes of tests proposed are studied The asymptotic performances are also evaluated m terms of Pitman asymptotic relative efficiency The results reveal that the newly proposed tests are better as compared to its competitors
Writer Characterization and Identification of Short Modern and Historical Documents: Reconsidering Paleographic Tables

Handwriting is considered a unique "fingerprint" that characterizes a scribe (it is even used as evidence in modern forensics). In paleography (the study of ancient writing), it is presumed that each writer has a one prototype for each letter in the alphabet. Commonly, for ancient inscriptions, letters are organized into paleographic tables (where the rows are the alphabet letters, and the columns represent the examined inscriptions). These tables play a significant role in dating inscriptions based on their resemblance to columns in the table. In this paper, we argue that each scribe "fingerprint" is not represented by a single character prototype, but in fact by a distribution of characters. We introduce a framework for automatically identifying the writer style and constructing paleographic tables based on character histograms. Subsequently, we propose a method for comparing short documents utilizing letter distribution. We demonstrate the validity of the methods on two handwritten datasets: Modern and Ancient Hebrew pertaining to the First Temple period. Our methodology on the ancient dataset enables us to provide additional evidence concerning the level of literacy in the kingdom of Judah ca. 600 BCE.
Cyclicity in de Branges–Rovnyak spaces

Abstract In this paper, we study the cyclicity problem with respect to the forward shift operator Sb acting on the de Branges–Rovnyak space ℋ (b) associated to a function b in the closed unit ball of H∞ and satisfying log(1− |b| ∈ L1(𝕋). We present a characterisation of cyclic vectors for Sb when b is a rational function which is not a finite Blaschke product. This characterisation can be derived from the description, given in [22], of invariant subspaces of Sb in this case, but we provide here an elementary proof. We also study the situation where b has the form b = (1+ I)/2, where I is a non-constant inner function such that the associated model space KI = ℋ (I) has an orthonormal basis of reproducing kernels.
PAPSO algorithm for optimization of the coil arrangement

The Particle swarm optimization (PSO) is an efficient optimization algorithm for solving complex global optimization problems. However, In order to provide this algorithm to be efficient, it Is often necessary fo matte several numerical computations of the optimized function. To reduce the costs of compulations, the new Phase Angle Particle Swarm Optimization (PAPSO) algorithm was implemented In the proposed algorithm we gave up the velocity vector of particle. Instead of that the phase angle vector was introduced. The proposed algorithm was examined on four benchmark test functions and was applied far determination of the optimal geometry of the cylindrical coil arrangement. The results were then compared with performances of the standard PSO and the 6-PSO atgonthms in all cases.
Neurophysiologic underpinnings of interaural asymmetry in young adults with and without binaural integration deficits on dichotic listening tests

Amblyaudia is an auditory processing disorder characterized by a binaural integration deficit with poor performance in only one ear and a larger than normal interaural asymmetry (Moncrieff, et al., 2016), which responds to a deficit-specific auditory training protocol that helps to remove the asymmetry (Moncrieff, et al, 2017). There is significant controversy in using behavioral, speech-based tests to assess children for auditory processing disorders via current diagnostic protocols, which has resulted in efforts to find alternative diagnostic methods to add to the current test battery (Jerger & Musiek, 2000). A population which previously has been shown to demonstrate binaural integration deficits is those with schizophrenia (Schubring, Popov, Miller, & Rockstroh, 2017). Their difficulties are displayed in their evoked responses to various stimulus presentation paradigms, such as those evoking the P300 responses, P50 responses, and other cortical responses. The question arises as to whether another population—i.e. those with amblyaudia—who also demonstrates binaural integration deficits will display similar patterns in their evoked responses in terms of latency and amplitude of their responses. The purpose of this study was to identify the presence of amblyaudia in a population of young adult subjects, to measure MMN/P300, P50 (paired pulse), and Frequency Following Responses (FFR) from those individuals and other control subjects without amblyaudia, and to investigate whether any of the objective electrophysiological measures show reliable differences in individuals with amblyaudia. Control and amblyaudia groups were determined through specific patterns of interaural asymmetry as determined by performance on the Randomized Dichotic Digits Test (RDDT) (Strouse-Carter & Wilson, 1999) and the Dichotic Words Test (DWT) (Moncrieff, 2015). The results from electrophysiological testing showed that the S3 response peak following the paired pulse paradigm was significantly longer, the amplitude of the N2 negative going response peak in the P300 paradigm was significantly larger, and the latencies of the D and E peaks in the FFR response were significantly longer in the amblyaudia group when compared to the control group. These results supported the general trends suggesting that there is increased noise and less synchrony in the central auditory nervous systems of those with amblyaudia—there was a high degree of variability in the subjects in this group, overall suggesting that there are differences in processing in those with amblyaudia as compared to the control group.
Do Elementary School Students Like Mathematics?

This study is aimed at describing the attitude of elementary school students toward mathematics. The research method used was survey. Respondents were 135 elementary school students consisting of fourth, fifth, and sixth-grade students. All respondents had recieved permission from their parents to participate in the study. Data were collected by using questionnaire. The results show that elementary school students assume that mathematics is a difficult subject. Respondents who gave spontaneous expression to mathematics with the word “difficult” amount to 38 students (27.74% of all respondents). They reason that mathematics has many formulas that must be memorized. In addition, the most difficult topic is volume because many formulas must be used to solve the problems related to volume. Interestingly, there are some students (13.14%) who consider learning mathematics fun because the material is easy to understand and the teacher is interesting. From the aspect of mathematics’ benefits, most respondents answer that learning mathematics is meaningful and useful in daily life, for example; to count money, buy and sell, count discounts, calculate area/land, measure weight, calculate volume, calculate distances, calculate farm yield, measure time, and train thinking and patience. Keywords— mathematics, elementary school students.
Leadership, job crafting and work outcomes : can leaders cultivate well-performing job crafters?

• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Australian fertility preservation guidelines for people with cancer 2022: review and recommendations

Fertility preservation is a rapidly advancing field, and new strategies are continuously being developed and refined.1 These strategies include oocyte and embryo cryopreservation, ovarian tissue cryopreservation and subsequent autografting for females, and sperm cryopreservation and testicular biopsy for males. Fertility preservation treatment is often urgent to prevent a delay in commencing cancer treatments. It requires effective communication and referral pathways between multidisciplinary teams, so that provision of fertility preservation care can be delivered consistently.1
Partitioning the effects of algal species identity and richness on benthic marine primary production

Influential research in terrestrial habitats indicates that several ecosystem processes are related to plant biodiversity, yet these links remain poorly studied in marine ecosystems. We conducted one field and one mesocosm experiment to quantify the relative effects of macroalgal species identity and richness on primary production in coral reef macroalgal communities off the north coast of Jamaica. We measured production as the net accumulation of algal biomass in the absence of consumers and as photosynthetic rate using oxygen probes in sealed aquaria. We used two recently developed techniques to attribute deviations in expected relative yield to components associated with species identity or diversity and then to further partition diversity effects into mechanistic components based on dominance, trait-dependent complementarity, and trait-independent complementarity. Our results indicate that algal identity had far greater effects on absolute net growth and photosynthesis than richness. The most diverse mixture of macroalgae did not outperform the most productive monoculture or the average monoculture in either measure of primary production (i.e. we did not find evidence of either transgressive or non-transgressive overyielding). Trait-independent complementarity effects were positive but dominance and trait-dependent complementarity were both negative and became stronger when richness was increased. Thus the potentially positive influence of species interactions and niche partitioning on production were negated by dominance and other negative selection effects. These results demonstrate that the counteracting influence of component effects can diminish the net richness effects on production. This could explain frequently observed weak net richness effects in other aquatic and terrestrial systems and suggests that life history tradeoffs greatly reduce the potential for ecologically relevant plant biodiversity effects on ecosystem properties.
Expanded downscaling for generating local weather scenarios

In an attempt to reconcile the capabilities of statistical downscaling and the demands of ecosystem modeling, the technique of expanded downscaling is introduced. Aimed at use in ecosystem models, emphasis is placed on the preservation of daily variability to the extent that possible climate change permlts. Generally, the expansion is possible for any statistical model which is formulated by utilizing some form of regression, but I will concentrate on linear models as they are easler to handle. Linear statistical downscaling assumes that the local climate anomalies are linearly linked to the global circulation anomalies. In expanded downscaling, in contrast. I propose that the local climate covariance is linked bilinearly to the global circulation covariance. This is done by transforming the technique of unconstrained minimization of the error cost function into a constrained minimization problem, with the preservation of local covariance forming the side condition. A general normalization routine is included on the local side in order to perform the downscaling exclusively with normally distributed variables. Application of the expanded operator to the daily, global circulation works essentially like a weather generator Using observed geopotentlal height fields over the North Atlantic and Europe gave consistent results for the weather s ta t~on at Potsdam with 14 measured quantities, even fol moisture-related variables. For GCM (general circulation model) scenarios, satisfactory results are obtained when the original variables are normally distributed. If they are not, strong sensitivity even to small input changes cause the normalization to produce large errors. Non-normally distributed variables such as most moisture variables are therefore strongly affected by even slight deficiencies of current GCMs with respect to daily variability and climatology. This marks the limit of applicability of expanded downscaling. K E Y WORDS: Statistical downscaling . Climate change . Cllrnate impact. Weather generator
Meiofaunal responses to sedimentation from an Alaskan spring bloom. I Major taxa

Metazoan meiofaunal comnlunity dynamics and spring phytoplankton bloom sedimentation rates were measured concurrently in Auke Bay, Alaska. from 1985 to 1988. We test the null hypothesis that recruitment and density maxima are unrelated to sedimentation events. Springtime chlorophyll a sedimentation was predictable and episodic, occurring annually at peak rates during midMay at 35 m; carbon sed~mentation was continuous through the spring. Cumulative sedimentation varied from year to year, ranging from lowest to highest by a factor of 2. At a 30 m station, seasonal variation in major taxon density was not identifiable, however interannual variations in meiofaunal densities &d occur No consistent relationship between meiofaunal abundances and spring chl a or carbon sedimentation was found, i.e. years with the highest or lowest nematode and harpacticoid abundances did not correspond to years with the highest or lowest values for sedimentation. Other factors must regulate the interannual variation in meiofauna, at least over the range of values for sedimentation in Auke Bay.
Local model networks applied to flight loads estimation

Nowadays flight load exceedance monitoring is an important task to the aircraft manufacturer as well as the operator. The estimation of flight loads is required during development and operation of an aircraft. The requirements are usually different for e.g. calculation of design loads for certification and operational loads monitoring of stress and fatigue. The ability to (more) precisely determine aircraft operational loads may reduce the time for analysing incidents and maintenance. In this paper the system identification method of Local Model Networks is applied to the field of flight loads estimation for the use in offlineanalysis but also for on-board aircraft systems by means of a data recorder storing direct loads indicators like forces and moments from estimates. The application of a previously developed modelling approach for flight loads estimation based on design and flight test data is used to model the loads acting on the horizontal tail plane of an aircraft.
Title Expressive Power of Decision Diagrams andQuantum Computation Models

In this dissertation, we discuss expressive power of some decision diagrams, which are representations of functions, and some quantum computation models. Many kinds of representations of functions have been proposed such as truth tables, CNF's and various kinds of decision diagrams. It is desired that they have much expressive power, that is, the size of representations of functions should be small, or the class of functions that can be represented should be large on the condition that the size of representations is restricted. When we discuss abilities of computation models such as finite automata and push down automata, we associate computation models with formal languages. Then abilities of computation models are evaluated in terms of to what extent the computation models can recognize languages. This evaluation is also based on the criteria of expressive power. In this dissertation, we show several results concerning expressive power such as lower bounds on the size of a certain decision diagram and abilities to recognize languages of certain computation models. In a practical sense, it is inconvenient if finding a small representation takes too much time even though the representation has a small expression. Thus it is also important to investigate how complex finding a small (or minimum) representation is. We also discuss complexity of finding a minimum representation of a certain decision diagram. In this dissertation, we deal with two sorts of decision diagrams. One is a binary moment diagram, which represents a function from binary vectors to integers. The other is a Kronecker functional decision diagram, which represents a boolean function. Binary moment diagrams can represent several arithmetic functions, including multiplication, efficiently, while binary decision diagrams need an exponential number of nodes to represent (a particular bit of) multiplication. However, some experimental results show that lower bounds on the size of a binary moment diagram representing division may be exponential. We give a theoretical proof to this result. Kronecker functional decision diagrams are generalized decision diagrams, which take any decomposition type for each variable.