Miracle-dz/UniFAR-FTUs huggingface dataset:
CONTROL STRATEGY FOR ASSURING CONSTANT SURFACE FINISH BY CONTROLLING CUTTING FORCES

The objective of this paper is to present surface roughness control strategy aimed at controlling the cutting force and maintaining constant roughness of the surface being milled by digital adaptation of cutting parameters. The idea of this control structure is to merge the off-line cutting condition optimization and genetic programming (GP) model based surface roughness control. The off-line optimization integrates the neural network (NN) modelling of the objective function and particle swarm optimization (PSO) of cutting parameters. The GP method is conducted to find the correlation between surface roughness and the cutting force and to provide a functional relationship with controllable factors. Simulation setup and simulation results are presented to confirm the efficiency of the control model and its relevance to industry.
Implementation of Sustainable supply-Chain Practices: First Insights for the Role of Information Systems based on a Case Study of Collaborative Ordering in the FMCG

In response to increasing demands of incorporating sustainability concerns and environmental practices into a firm’s supply chain management, firms are transforming their policies to exceed their current boundaries. As a consequence, they tend to take actions including the adoption of green practices and the compliance to corporate laws and regulations. Apart from the use of different types of indicators, their attempts emphasize on the adoption of dedicated Information Systems or relevant components that focus on environmental impact measuring. Such systems act as enablers in the environmental supply chain management and, especially in food supply chain, their role is even more critical as the short life cycles, the speed of response and the constraints posed by the lead times make the technological implementation harder. Within this context, this paper is trying to assess the impact of environmental practices implementation through the use of relevant information systems focusing on decision making. The data needed is discussed mainly giving emphasis on the challenges of executing such strategic supply chain initiatives. The case study used refers to the FMCG sector and, more specifically, to a major European-based food producer and its downwards supply chain to the retailers.
Heart-Rate Variability—More than Heart Beats?

Heart-rate variability (HRV) is frequently introduced as mirroring imbalances within the autonomous nerve system. Many investigations are based on the paradigm that increased sympathetic tone is associated with decreased parasympathetic tone and vice versa. But HRV is probably more than an indicator for probable disturbances in the autonomous system. Some perturbations trigger not reciprocal, but parallel changes of vagal and sympathetic nerve activity. HRV has also been considered as a surrogate parameter of the complex interaction between brain and cardiovascular system. Systems biology is an inter-disciplinary field of study focusing on complex interactions within biological systems like the cardiovascular system, with the help of computational models and time series analysis, beyond others. Time series are considered surrogates of the particular system, reflecting robustness or fragility. Increased variability is usually seen as associated with a good health condition, whereas lowered variability might signify pathological changes. This might explain why lower HRV parameters were related to decreased life expectancy in several studies. Newer integrating theories have been proposed. According to them, HRV reflects as much the state of the heart as the state of the brain. The polyvagal theory suggests that the physiological state dictates the range of behavior and psychological experience. Stressful events perpetuate the rhythms of autonomic states, and subsequently, behaviors. Reduced variability will according to this theory not only be a surrogate but represent a fundamental homeostasis mechanism in a pathological state. The neurovisceral integration model proposes that cardiac vagal tone, described in HRV beyond others as HF-index, can mirror the functional balance of the neural networks implicated in emotion–cognition interactions. Both recent models represent a more holistic approach to understanding the significance of HRV.
Valproate-induced hyperammonaemic encephalopathy: review of 14 cases in the psychiatric setting

ObjectivesTo review signs and symptoms of valproate-induced hyperammonaemic encephalopathy without hepatotoxicity in the psychiatric setting, explore its mechanisms, and give recommendations for prevention and treatment. MethodsMedline search with keywords valproate, ammonia, hyperammonaemia, encephalopathy, and then cross-references to articles obtained through this search. Only cases with indication of valproate for psychiatric condition were included. ResultsFourteen cases published in the psychiatric setting are reviewed. Valproate-induced hyperammonaemic encephalopathy is a rare adverse event, occurring almost equally in men and women, with a large age range, and reported in two patients with mental retardation. Symptoms appeared either a few days after initiation of valproate therapy, or after several months or years. The main symptoms were fluctuations in consciousness and disorientation. Clinical severity was not related to blood ammonia levels. All patients recovered after valproate-induced hyperammonaemic encephalopathy diagnosis and treatment, usually involving discontinuation of valproate. ConclusionsValproate-induced hyperammonaemic encephalopathy is rare and usually reversible in patients without urea cycle disorders when valproate is discontinued. Therapy with carnitine is recommended. Special caution should be used in patients with mental retardation. Psychiatrists should suspect valproate-induced hyperammonaemic encephalopathy when consciousness deteriorates.
From Amsterdam to Kosovo: Lessons for the future of CFSP

[Executive Summary]. Although the full effects of the Kosovo imbroglio will not be evident for some time to come and the Amsterdam Treaty has only just entered into effect, there is nevertheless a need to focus upon the extent to which the treaty’s provisions might help the EU and other associated organisations address future crises appropriately. The areas in which the Amsterdam Treaty’s provisions may prove to be inadequate, and there would appear to be many, also suggest the need to move beyond the largely paper security structures in Europe. Kosovo will have one of two effects; either it will rejuvenate the Common Foreign and Security Policy (CFSP) and give practical effect to a common defence policy and common defence, or it will leave the security of the region largely in the hands of the US with all of the benefits and risks that this applies. The former will involve a change in approach to CFSP and a willingness to invest in appropriate military assets to address the causes and effects of primarily intra-state conflict. The latter will continue the patterns established during the cold war whereby the (west) Europeans rely heavily upon the US for initiative, leadership, and key military hardware. Kosovo marks a watershed in the sense that its effects may well make or break the CFSP.
Classification of Cloud Data using Bayesian Classification

One of the major security challenges in cloud computing is the detection and prevention of intrusions and attacks. In order to detect and prevent malicious activities at the network layer, we propose a security framework which integrates a network intrusion detection system (NIDS) in the Cloud infrastructure. We use snort and Bayesian classifier machine learning based techniques to implement this framework. To validate our approach, we evaluate the performance and detection efficiency of our NIDS by using KDD experimental intrusion datasets. The results show that the proposed model has a higher detection rate with low false positives at an affordable computational cost.
Why do we respond differently to sleep deprivation?

Advances in genomics have resulted in a greater understanding of the variable susceptibility to and the phenotypic expression of medical disorders. Individual genetic differences result in different, and sometimes highly varied, susceptibility to the development of medical disorders, whether they are inherited or acquired. The presence of certain alleles, in the absence of a definable medical disorder, may predispose an individual to certain features of that medical disorder. In the nondisease state, alleles are probably responsible for individually different traits and are what makes each of us unique. Finally, these individual differences have been helpful in explaining the different responses to treatment, and to the development of individualized treatments. The article by Goel et al.1 in this issue of Neurology ® explores the context of differences in response to chronic partial sleep deprivation. Specifically, they investigated differences between healthy adult subjects who were positive for a genetic biomarker for narcolepsy, the HLA DQB1*0602 allele, and those who were negative. The authors demonstrated that the presence of the DQB1*0602 allele is associated …
Comparative Study of Breast Implant Rupture Using Mammography, Sonography, and Magnetic Resonance Imaging: Correlation with Surgical Findings

Abstract: Purpose of this study was to evaluate the accuracy of mammography, ultrasonography, and magnetic resonance imaging (MRI), in the detection of breast implant rupture and to make a correlation with findings at explantation. The study population consisted of 63 women with 82 implants, undergoing surgical explantation. Implant rupture status was blindly determined obtaining diagnosis of rupture, possible rupture, or intact implant. Strictly predetermined rupture criteria were applied and compared with findings at surgery, which were considered the gold standard. False‐positives and false‐negatives were retrospectively evaluated to identify pitfalls in the investigation. All associations between imaging signs and surgical findings were evaluated by using chi‐square test. The respective sensitivity and specificity of investigations are reported. Our experience suggests that MRI is the more accurate method for identification of breast implant rupture, even if it should be performed following the diagnostic algorithm proposed.
Leakage Power Contributor Modeling

Low-power or power-aware design is one of the greatest challenges facing the semiconductor industry. The fidelity of low power design is dependent on the accuracy of power modeling across a wide range of PVT values. This paper describes an alternative “power contributor”based approach to cell leakage characterization that exploits inherent separability of power consumption for different portions of a cell. An experimental use of this approach is also presented that demonstrates how the effort to characterize leakage power can be greatly reduced with only a marginal impact on accuracy.
Closed loop PI control of DC-DC Cascode Buck-Boost converter

Two Buck-Boost Converters are used to design a DC-DC Cascode Buck-Boost Converter where IGBT as the active switch. The two Buck-Boost Converters are named as top semi stage and bottom semi stage. The voltage input to the bottom semi stage converter is given directly by means of DC supply and the voltage input to the top semi stage is given by means of DC supply and the output voltage of the bottom semi-stage Converter and the output voltage is given by sum of voltage output of top semi stage and bottom semi stage. Hence, the proposed Cascode Converter can be used to achieve very high output voltage gain in a single stage rather than using more number of cascaded converts without high duty ratio. Operating principle and steady state analysis are discussed in detail in this paper and the voltage gain is compared with conventional Boost, Buck-Boost and Cuk Converter. Dynamic analysis of complete circuit is analyzed and MATLAB/Simulink simulation is done and finally to verify the proposed cascode converter laboratory experiment of 50W has been implemented to test both the simulation and experimental result. PI Controller is employed to control the output voltage of the converter to the reference point.
Effect of Cutting Flute Design on Cortical Bone Screw Insertion Torque and Pullout Strength

Objective To determine the effect of the number and length of cutting flutes on the insertion torque and pullout strength for self-tapping 4.5-millimeter cortical bone screws. Design Screws were self-tapped in the diaphysis of human cadaver femurs. Each of the six screw types studied had different designs with varying cutting flute lengths and numbers. Bone mineral density, insertion torque, and pullout strength were measured. Setting The study was conducted at an experimental biomechanics laboratory associated with a university medical center. Outcome Measurements Insertion torque and pullout strength were normalized by the local bone mineral density. Results The mean normalized insertion torque of the design with four full-length cutting flutes was less than the design with three full-length flutes and the two designs with one-third length flutes (p < 0.05). The mean normalized pullout strength of the screw with four full-length flutes was significantly greater than that of all screws with fewer than three flutes (p < 0.05). Conclusions Priorities for a cutting flute design should ideally include ease of screw insertion, minimal soft tissue irritation, and maximal screw holding power. Screws with more than two flutes were easier to insert and did not cause cortical damage during insertion. The screw with four full-length flutes showed a trend toward being the easiest to insert and having the greatest holding strength.
Prediction of the mechanical response of canine humerus to three-point bending using subject-specific finite element modelling

Subject-specific finite element models could improve decision making in canine long-bone fracture repair. However, it preliminary requires that finite element models predicting the mechanical response of canine long bone are proposed and validated. We present here a combined experimental–numerical approach to test the ability of subject-specific finite element models to predict the bending response of seven pairs of canine humeri directly from medical images. Our results show that bending stiffness and yield load are predicted with a mean absolute error of 10.1% (±5.2%) for the 14 samples. This study constitutes a basis for the forthcoming optimization of canine long-bone fracture repair.
The role of serotonin in the pathophysiology of myoclonic seizures associated with acute imipramine toxicity

Article abstract Seizures are a well-known manifestation of imipramine toxicity, but the pathophysiology of these seizures is unknown. Since myoclonic seizures can be generated in guinea pigs with 5-hydroxytryptophan, the precursor of serotonin, and since imipramine has been observed to decrease the reuptake to serotonin in the brain, an attempt was made to potentiate 5-hydroxytryptophan-induced myoclonus in guinea pigs with imipramine. Subthreshold doses of 5-hydroxytryptophan together with 35 mg per kilogram of imiparmine consistently led ? o myoclonic seizures in the animals. Antagonists of norepinephrine, dopamine, and acetylcholine all failed to block the potentiation of 5-hydroxytryptophan-induced seizures with imipramine. These results are consistent with the hypothesis that imiprarnine acts via serotonergic mechanisms in the brain to produce myoclonic seizures.
Self-association of beta-amyloid peptide (1-40) in solution and binding to lipid membranes.

The beta-amyloid peptide (beta AP), a 39 to 43 residue peptide, is the major component of Alzheimer plaques. Using circular dichroism spectroscopy, titration calorimetry, and analytical ultracentrifugation we have analyzed the self-association of beta AP(1-40) in aqueous solution and the binding of beta AP(1-40) to negatively charged lipid vesicles. The CD spectra of both aggregation and membrane binding are characterized by an isodichroic point at 212 nm, indicating a simple two-state equilibrium for both cases. In aqueous solution beta AP(1-40) exhibits a reversible, concentration-dependent random coil<-->beta-structure transition which can be described by a cooperative aggregation model with an association constant of s = 1.05 x 10(4)M-1 and a nucleation parameter of sigma = 0.012. A similar conformational change is observed upon addition of lipid. At a given peptide concentration, the addition of negatively charged, small unilamellar vesicles also induces a conformational change from a random coil conformation to a conformation with 40 to 60% beta-structure. The binding isotherm can be measured with high sensitivity titration calorimetry. It is approximately linear in the initial binding phase and exhibits an apparent saturation behaviour. The apparent binding constant decreases with concentration from Kapp approximately 2100 M-1 at low concentration to 700 M-1 at the highest concentration measured. Peptide penetration into the lipid membrane and peptide aggregation at the membrane surface are proposed as possible mechanisms to explain the lipid-induced random coil<-->beta-structure transition.
Cloud computing networking: challenges and opportunities for innovations

Cloud computing materializes the vision of utility computing. Tenants can benefit from on-demand provisioning of compute, storage, and networking resources according to a pay-per-use business model. Tenants have only limited visibility and control over network resources. The owners of cloud computing facilities are also facing challenges in various aspects of providing and efficiently managing IaaS facilities. In this work we present the networking issues in IaaS and federation challenges that are currently addressed with existing technologies. We also present innovative software-defined networking proposals, which are applied to some of the challenges and could be used in future deployments as efficient solutions.
Why Do Physicians Fail to Recognize and Treat Malnutrition in Older Persons?

he article by Mow6 and Bbhmer' in this issue points out that protein-energy malnutrition is a T common problem in older persons and that it is rarely recognized and, even when recognized, often not treated. Miller et a12 have recently documented a similar situation in outpatients over the age of 70 years. Sullivan et a13 have shown that the presence of proteinenergy malnutrition adversely affects the prognosis of patients admitted to geriatric evaluation and management units. Aggressive nutritional support has been demonstrated to improve the outcome in malnourished older persons with hip fracture4 and in a large series of general geriatric patient^. ^ Numerous review articles in ger ia t r i~~-~ and general medical have drawn attention to the need for aggressive nutritional support in older persons. Why then do physicians not give nutritional support of the older person a higher priority? Three major barriers to adequate nutritional management for older people seem to exist. First, physicians have been poorly trained in making the diagnosis of malnutrition and in recognizing those who are at risk of developing nutritional problems. Secondly, physicians appear unaware that protein-energy malnutrition may be the presenting feature of a number of treatable diseases in older persons. Protein-energy malnutrition represents one of the classical apathetic presentations of disease in the older person. Finally, physicians are, in general, unaware of how best to manage patients with proteinenergy malnutrition and of a number of the newer methods available for treatment of this condition. Like many geriatric syndromes, the management of proteinenergy malnutrition requires astute diagnostic skills and is labor-intensive. In an effort to enhance physician awareness of nutritional problems, we have developed an instrument which appears useful for detecting persons at risk for developing protein-energy malnutrition (Table 1). The use of similar diagnostic instruments for depression, eg Yesavage Geriatric Depression Scale,I2 dementia, eg Folstein Mini-Mental Status,13 and ait and balance, eg Tinnetti Gait and Balance Scale)' have greatly advanced the recognition of these disorders among older persons. The Nutrition Risk Scale has been set so as to have a high sensitivity and has the advantage of being easy to remember. While it clearly requires validation, I have found a useful tool for teaching nutrition awareness to physicians.
Blogs, Twitter Feeds, and Reddit Comments: Cross-domain Authorship Attribution

Abstract Stylometry is a form of authorship attribution that relies on the linguistic information to attribute documents of unknown authorship based on the writing styles of a suspect set of authors. This paper focuses on the cross-domain subproblem where the known and suspect documents differ in the setting in which they were created. Three distinct domains, Twitter feeds, blog entries, and Reddit comments, are explored in this work. We determine that state-of-the-art methods in stylometry do not perform as well in cross-domain situations (34.3% accuracy) as they do in in-domain situations (83.5% accuracy) and propose methods that improve performance in the cross-domain setting with both feature and classification level techniques which can increase accuracy to up to 70%. In addition to testing these approaches on a large real world dataset, we also examine real world adversarial cases where an author is actively attempting to hide their identity. Being able to identify authors across domains facilitates linking identities across the Internet making this a key security and privacy concern; users can take other measures to ensure their anonymity, but due to their unique writing style, they may not be as anonymous as they believe.
LABORATORY EVALUATION OF THE TOXICITY OF PROTEUS, PYMETROZINE, DELTAMETHRIN, AND PIRIMICARB ON LADY BEETLE HIPPODAMIA VARIEGATA (GOEZE) (COL.: COCCINELLIDAE)

The implementation of an Integrated Pest Management (IPM) program requires selecting and using chemicals which are least harmful to natural enemies. In this study, the acute toxicity of the recommended field concentration of four conventional insecti- cides was evaluated in reference to the different life stages (L 3 , L 4 and adult) of the variegated lady beetle Hippodamia variegata (Goeze) (Coleoptera: Coccinellidae). The evaluated insecticides were Proteus, pymetrozine, deltamethrin, and pirimicarb. A completely ran- domized design (CRD) with four replications was used as the experimental design. The means were separated by the least significant difference (LSD). The mortalities of those predators treated with the field recommended concentrations of various insecticides, were significantly different. Proteus showed strong toxicity toward the different life stages of the predator. However, pymetrozine and pirimicarb caused less than a 50% mortality. Based on the lethal concentration (LC 50 ) values at 24 h after treatment, the adult predator was the most susceptible to proteus, followed by deltamethrin, pymetrozine, and pirimicarb values of 35.977, 358.757, 915.667, and 2616.113. Based on sublethal concentrations (LC 30 ), these values were 22.718, 261.957, 569.879, and 1521.424. Based on International Organization of Biological Control (IOBC) classification, the insecticides pirimicarb and pymetrozine were both categorized as hav- ing a Class 1 toxicity level (harmless), deltamethrin as having a Class 2 level (slightly harmful), and Proteus, a Class 4 toxicity level (harmful).